plot of v3 by square of v1 best fitting line and confidence limits of the m 75
Plot of v2*v1. Legend: A = 1 obs, B = 2 obs, etc.
v2 ‚
‚
7 ˆ
‚
‚ A
‚ A A
‚ A
‚ A A A A
‚ A A BAA B A A
6 ˆ A C BA AAAA CBA AAA A A
‚ A A A AD B C AC
‚ A A A AB B ACACA A A A
‚ A ABAB A A A AA A AAA
‚ CA ABAABAA AA A
‚ C A DA C A A A
‚ A A BBA A BA AB A A A
5 ˆ AA A C AAAA A
‚ A A A AB A A
‚ AAAAA A
‚ A BAA C A C A
‚ A A A A
‚ AA A
‚ A
4 ˆ A A A
‚ A
‚
‚ A AA
‚
‚
‚ A
3 ˆ A A A
‚ A
‚
‚ A
‚
‚
‚
2 ˆ
‚
Šƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒ
50 75 100 125 150 175 200 225
v1
plot of v3 by square of v1 best fitting line and confidence limits of the m 76
Plot of v3*v1. Legend: A = 1 obs, B = 2 obs, etc.
300 ˆ
‚
‚
‚ A A A
‚
‚
‚
250 ˆ
‚
‚
‚
‚
‚
‚
200 ˆ
‚
‚ A
v3 ‚ A A A A
‚ A A AB AA A
‚
‚ A
150 ˆ A A
‚ B A
‚ A
‚ B
‚ A A A
‚ A A A A
‚ A AA AB A A AA
100 ˆ A A A B
‚ A AAB A
‚ A AB A A B A A A A A
‚ AA AA A A BA A
‚ A AAAA AA B A A A A A
‚ AA A A A AB A
‚ AAAA A A AA A A
50 ˆ A A AC AA AA AA A A A
‚ A A A A A A A BB BA A A
‚ A A A ACA AAC A BA
‚ A A AA AA A A B B A A
‚ A A A A A AAA AAA A A AA A
‚ A A A AB A A
‚ A B A
0 ˆ A
Šƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒ
50 75 100 125 150 175 200 225
v1
regression of v2 by cubed root of v1 77
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Analysis of Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
Model 1 50.68636 50.68636 171.41 <.0001
Error 198 58.54861 0.29570
Corrected Total 199 109.23498
Root MSE 0.54378 R-Square 0.4640
Dependent Mean 5.30785 Adj R-Sq 0.4613
Coeff Var 10.24488
Parameter Estimates
Parameter Standard
Variable DF Estimate Error t Value Pr > |t|
Intercept 1 4.35074 0.08260 52.67 <.0001
crv1 1 2.711372E-7 2.070948E-8 13.09 <.0001
plot of v2 by cubed root of v1 with best fitting line 78
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Dep Var Predicted Std Error
Obs v2 Value Mean Predict 95% CL Mean
1 5.9900 5.4588 0.0401 5.3797 5.5380
2 5.9200 5.9511 0.0624 5.8280 6.0741
3 5.2200 4.8246 0.0533 4.7194 4.9297
4 5.4500 5.3354 0.0385 5.2595 5.4114
5 5.5400 5.1016 0.0416 5.0197 5.1836
6 6.1200 5.4020 0.0391 5.3249 5.4792
7 5.5000 5.8737 0.0578 5.7596 5.9878
8 4.8200 4.6828 0.0613 4.5619 4.8037
9 5.6200 4.9524 0.0471 4.8595 5.0452
10 5.8400 5.9383 0.0616 5.8168 6.0599
11 5.8100 5.4665 0.0403 5.3870 5.5460
12 5.4300 4.9415 0.0476 4.8477 5.0353
13 4.5900 5.2164 0.0391 5.1393 5.2935
14 5.0700 5.4058 0.0392 5.3286 5.4831
15 5.4400 4.9320 0.0480 4.8373 5.0266
16 5.8300 5.7251 0.0499 5.6266 5.8236
17 6.0700 6.2043 0.0785 6.0494 6.3592
18 5.2800 5.0085 0.0447 4.9203 5.0968
19 5.4100 5.1808 0.0397 5.1026 5.2590
20 6.0300 5.7887 0.0532 5.6839 5.8936
21 5.8500 5.8642 0.0573 5.7512 5.9772
22 6.0000 5.7813 0.0528 5.6772 5.8854
23 5.1800 5.2333 0.0389 5.1566 5.3099
24 5.2500 5.1235 0.0409 5.0427 5.2042
25 5.5000 5.0305 0.0439 4.9439 5.1171
26 5.1800 4.9325 0.0480 4.8379 5.0271
27 4.6600 4.9517 0.0471 4.8588 5.0445
28 5.1700 5.1681 0.0399 5.0894 5.2468
29 5.0400 5.3226 0.0385 5.2467 5.3985
30 2.9400 4.8921 0.0499 4.7937 4.9904
31 4.5100 5.2067 0.0392 5.1294 5.2841
32 4.7900 4.8459 0.0522 4.7430 4.9488
33 6.1100 5.6320 0.0457 5.5418 5.7222
34 5.8700 5.7568 0.0515 5.6552 5.8584
35 5.7200 5.0377 0.0436 4.9517 5.1238
36 4.5600 5.3358 0.0385 5.2599 5.4117
37 4.6800 5.0444 0.0434 4.9588 5.1300
38 5.0700 5.2631 0.0386 5.1870 5.3392
39 5.7700 6.5394 0.1016 6.3390 6.7398
40 5.1500 4.8168 0.0537 4.7109 4.9227
41 5.8400 5.3882 0.0389 5.3114 5.4650
42 4.4700 4.6550 0.0630 4.5309 4.7792
plot of v2 by cubed root of v1 with best fitting line 79
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Obs 95% CL Predict Residual
1 4.3835 6.5341 0.5312
2 4.8717 7.0304 -0.0311
3 3.7471 5.9020 0.3954
4 4.2604 6.4105 0.1146
5 4.0261 6.1771 0.4384
6 4.3269 6.4771 0.7180
7 4.7953 6.9521 -0.3737
8 3.6037 5.7619 0.1372
9 3.8760 6.0287 0.6676
10 4.8591 7.0176 -0.0983
11 4.3912 6.5418 0.3435
12 3.8650 6.0179 0.4885
13 4.1413 6.2915 -0.6264
14 4.3307 6.4810 -0.3358
15 3.8555 6.0085 0.5080
16 4.6483 6.8020 0.1049
17 5.1208 7.2878 -0.1343
18 3.9326 6.0845 0.2715
19 4.1056 6.2560 0.2292
20 4.7113 6.8662 0.2413
21 4.7859 6.9425 -0.0142
22 4.7039 6.8587 0.2187
23 4.1582 6.3084 -0.0533
24 4.0481 6.1989 0.1265
25 3.9547 6.1064 0.4695
26 3.8560 6.0090 0.2475
27 3.8753 6.0280 -0.2917
28 4.0929 6.2434 0.001870
29 4.2476 6.3976 -0.2826
30 3.8152 5.9689 -1.9521
31 4.1316 6.2819 -0.6967
32 3.7686 5.9231 -0.0559
33 4.5559 6.7081 0.4780
34 4.6796 6.8340 0.1132
35 3.9619 6.1135 0.6823
36 4.2608 6.4108 -0.7758
37 3.9687 6.1202 -0.3644
38 4.1880 6.3381 -0.1931
39 5.4485 7.6303 -0.7694
40 3.7392 5.8944 0.3332
41 4.3131 6.4633 0.4518
42 3.5755 5.7345 -0.1850
plot of v2 by cubed root of v1 with best fitting line 80
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Dep Var Predicted Std Error
Obs v2 Value Mean Predict 95% CL Mean
43 5.6700 5.2992 0.0385 5.2233 5.3750
44 4.5500 4.5763 0.0678 4.4425 4.7101
45 4.7300 4.8832 0.0503 4.7840 4.9824
46 6.2100 5.3167 0.0385 5.2409 5.3925
47 4.5000 5.2415 0.0388 5.1650 5.3180
48 5.1600 6.4900 0.0981 6.2965 6.6836
49 3.8000 4.4599 0.0753 4.3114 4.6085
50 6.0200 5.1933 0.0394 5.1156 5.2711
51 5.5400 4.9514 0.0471 4.8585 5.0443
52 5.0800 4.9486 0.0472 4.8555 5.0418
53 5.4000 5.2865 0.0385 5.2106 5.3624
54 5.9400 5.8770 0.0580 5.7626 5.9915
55 4.9100 4.6518 0.0632 4.5272 4.7763
56 4.9400 4.9064 0.0492 4.8094 5.0034
57 3.5400 4.5923 0.0668 4.4606 4.7241
58 5.3700 5.1484 0.0403 5.0689 5.2280
59 5.9000 5.2392 0.0388 5.1627 5.3157
60 4.1500 4.6271 0.0647 4.4996 4.7546
61 5.5900 5.6774 0.0477 5.5834 5.7715
62 6.6900 7.0069 0.1353 6.7399 7.2738
63 4.5600 4.8285 0.0531 4.7237 4.9332
64 5.3500 5.0015 0.0450 4.9128 5.0903
65 3.0100 4.7361 0.0582 4.6213 4.8508
66 5.4300 4.9540 0.0470 4.8613 5.0467
67 6.0300 5.0539 0.0431 4.9690 5.1388
68 5.2600 5.3431 0.0385 5.2671 5.4191
69 5.7000 5.5885 0.0440 5.5017 5.6753
70 5.8900 5.4638 0.0403 5.3844 5.5432
71 6.2700 6.7058 0.1135 6.4820 6.9296
72 4.6200 4.9666 0.0465 4.8750 5.0582
73 4.5000 4.7606 0.0568 4.6486 4.8726
74 4.9900 5.2308 0.0389 5.1541 5.3075
75 5.0000 4.9870 0.0456 4.8971 5.0770
76 4.7800 4.9114 0.0489 4.8149 5.0079
77 4.8800 5.2150 0.0391 5.1379 5.2921
78 5.6900 4.8910 0.0499 4.7926 4.9895
79 5.2100 5.3914 0.0390 5.3145 5.4683
80 4.7900 4.7996 0.0546 4.6919 4.9074
81 4.5200 4.9870 0.0456 4.8971 5.0770
82 5.2400 5.1494 0.0403 5.0699 5.2289
83 5.9200 5.4837 0.0407 5.4034 5.5641
84 5.6600 5.3105 0.0385 5.2346 5.3863
plot of v2 by cubed root of v1 with best fitting line 81
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Obs 95% CL Predict Residual
43 4.2241 6.3742 0.3708
44 3.4956 5.6570 -0.0263
45 3.8063 5.9602 -0.1532
46 4.2417 6.3917 0.8933
47 4.1664 6.3166 -0.7415
48 5.4004 7.5797 -1.3300
49 3.3774 5.5425 -0.6599
50 4.1182 6.2685 0.8267
51 3.8750 6.0278 0.5886
52 3.8722 6.0250 0.1314
53 4.2114 6.3615 0.1135
54 4.7986 6.9555 0.0630
55 3.5722 5.7313 0.2582
56 3.8297 5.9831 0.0336
57 3.5119 5.6728 -1.0523
58 4.0731 6.2237 0.2216
59 4.1641 6.3143 0.6608
60 3.5472 5.7070 -0.4771
61 4.6010 6.7539 -0.0874
62 5.9018 8.1119 -0.3169
63 3.7510 5.9059 -0.2685
64 3.9255 6.0775 0.3485
65 3.6576 5.8145 -1.7261
66 3.8777 6.0304 0.4760
67 3.9782 6.1296 0.9761
68 4.2681 6.4182 -0.0831
69 4.5127 6.6644 0.1115
70 4.3885 6.5391 0.4262
71 5.6104 7.8013 -0.4358
72 3.8903 6.0428 -0.3466
73 3.6824 5.8388 -0.2606
74 4.1557 6.3059 -0.2408
75 3.9109 6.0632 0.0130
76 3.8347 5.9881 -0.1314
77 4.1399 6.2901 -0.3350
78 3.8142 5.9679 0.7990
79 4.3163 6.4665 -0.1814
80 3.7219 5.8774 -0.009629
81 3.9109 6.0632 -0.4670
82 4.0741 6.2247 0.0906
83 4.4084 6.5591 0.4363
84 4.2354 6.3855 0.3495
plot of v2 by cubed root of v1 with best fitting line 82
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Dep Var Predicted Std Error
Obs v2 Value Mean Predict 95% CL Mean
85 5.5700 5.9893 0.0647 5.8617 6.1170
86 6.3400 6.0310 0.0673 5.8983 6.1637
87 5.5700 5.0335 0.0438 4.9472 5.1199
88 5.4700 5.3268 0.0385 5.2509 5.4027
89 5.0900 5.1702 0.0399 5.0916 5.2488
90 5.6900 5.2545 0.0387 5.1783 5.3308
91 5.5800 5.5399 0.0423 5.4564 5.6234
92 6.1600 5.7539 0.0514 5.6526 5.8552
93 5.2200 4.8238 0.0533 4.7187 4.9290
94 6.0700 6.4631 0.0963 6.2733 6.6529
95 5.9400 6.1195 0.0729 5.9756 6.2634
96 5.6600 5.5016 0.0412 5.4203 5.5828
97 4.5400 4.7817 0.0556 4.6720 4.8913
98 5.1300 4.9030 0.0493 4.8057 5.0003
99 5.6900 5.6723 0.0475 5.5787 5.7659
100 3.9400 4.7799 0.0557 4.6700 4.8898
101 5.5100 4.7129 0.0595 4.5955 4.8303
102 5.5600 5.9131 0.0601 5.7945 6.0317
103 6.4900 5.8096 0.0543 5.7025 5.9167
104 5.7600 6.1647 0.0759 6.0150 6.3144
105 5.0400 4.7789 0.0558 4.6689 4.8889
106 5.7000 5.4046 0.0392 5.3274 5.4818
107 5.4600 5.6767 0.0477 5.5827 5.7707
108 5.8800 5.5932 0.0442 5.5061 5.6804
109 3.0500 4.5882 0.0671 4.4559 4.7205
110 5.4500 5.2308 0.0389 5.1541 5.3075
111 5.6000 4.9947 0.0453 4.9054 5.0840
112 4.7100 4.8285 0.0531 4.7237 4.9332
113 6.0900 5.6742 0.0476 5.5804 5.7679
114 5.4700 5.4310 0.0396 5.3529 5.5090
115 5.4900 5.8594 0.0570 5.7469 5.9718
116 4.6300 4.7754 0.0560 4.6650 4.8857
117 6.3500 5.5714 0.0434 5.4858 5.6570
118 5.8100 5.9561 0.0627 5.8325 6.0797
119 5.3500 5.1514 0.0403 5.0720 5.2308
120 6.0000 5.3297 0.0385 5.2538 5.4056
121 5.9800 7.2643 0.1543 6.9600 7.5685
122 5.7400 5.6989 0.0487 5.6029 5.7949
123 5.2600 5.7880 0.0531 5.6832 5.8928
124 4.4800 4.7778 0.0558 4.6677 4.8879
125 3.9700 4.7031 0.0601 4.5846 4.8216
126 5.9800 5.5723 0.0434 5.4866 5.6579
plot of v2 by cubed root of v1 with best fitting line 83
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Obs 95% CL Predict Residual
85 4.9094 7.0693 -0.4193
86 4.9505 7.1115 0.3090
87 3.9577 6.1093 0.5365
88 4.2518 6.4018 0.1432
89 4.0949 6.2454 -0.0802
90 4.1795 6.3296 0.4355
91 4.4643 6.6155 0.0401
92 4.6768 6.8310 0.4061
93 3.7463 5.9013 0.3962
94 5.3741 7.5521 -0.3931
95 5.0375 7.2014 -0.1795
96 4.4261 6.5770 0.1584
97 3.7037 5.8596 -0.2417
98 3.8262 5.9797 0.2270
99 4.5959 6.7487 0.0177
100 3.7019 5.8579 -0.8399
101 3.6341 5.7917 0.7971
102 4.8342 6.9920 -0.3531
103 4.7319 6.8873 0.6804
104 5.0820 7.2475 -0.4047
105 3.7009 5.8569 0.2611
106 4.3295 6.4798 0.2954
107 4.6003 6.7532 -0.2167
108 4.5174 6.6691 0.2868
109 3.5078 5.6687 -1.5382
110 4.1557 6.3059 0.2192
111 3.9186 6.0707 0.6053
112 3.7510 5.9059 -0.1185
113 4.5977 6.7506 0.4158
114 4.3558 6.5062 0.0390
115 4.7811 6.9376 -0.3694
116 3.6974 5.8534 -0.1454
117 4.4956 6.6471 0.7786
118 4.8767 7.0356 -0.1461
119 4.0762 6.2267 0.1986
120 4.2546 6.4047 0.6703
121 6.1496 8.3789 -1.2843
122 4.6222 6.7755 0.0411
123 4.7105 6.8654 -0.5280
124 3.6998 5.8558 -0.2978
125 3.6242 5.7820 -0.7331
126 4.4965 6.6480 0.4077
plot of v2 by cubed root of v1 with best fitting line 84
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Dep Var Predicted Std Error
Obs v2 Value Mean Predict 95% CL Mean
127 4.9400 4.9958 0.0452 4.9066 5.0851
128 5.2000 5.1013 0.0416 5.0193 5.1833
129 5.9700 5.2857 0.0385 5.2098 5.3616
130 5.4900 5.3550 0.0386 5.2788 5.4311
131 4.9500 4.9859 0.0456 4.8959 5.0759
132 5.3000 4.9069 0.0492 4.8100 5.0039
133 5.3100 5.0420 0.0435 4.9562 5.1277
134 5.1400 4.9722 0.0462 4.8811 5.0634
135 6.1800 6.0127 0.0662 5.8822 6.1431
136 5.7600 5.7517 0.0513 5.6506 5.8528
137 4.5300 4.9639 0.0466 4.8721 5.0557
138 5.5800 5.4762 0.0405 5.3962 5.5561
139 4.2700 4.6157 0.0654 4.4868 4.7446
140 5.4200 4.9753 0.0461 4.8845 5.0662
141 5.5600 4.8995 0.0495 4.8018 4.9971
142 5.7800 5.5515 0.0427 5.4673 5.6358
143 5.5300 5.2807 0.0385 5.2048 5.3567
144 6.5400 6.9886 0.1340 6.7244 7.2529
145 6.0100 5.8848 0.0585 5.7695 6.0001
146 4.9600 5.1761 0.0397 5.0978 5.2545
147 5.6500 5.6426 0.0462 5.5515 5.7336
148 5.7900 5.4861 0.0408 5.4056 5.5665
149 5.8000 5.1218 0.0410 5.0410 5.2027
150 3.1400 4.6141 0.0655 4.4850 4.7432
151 6.5700 6.0633 0.0693 5.9266 6.2000
152 5.3300 5.0257 0.0441 4.9388 5.1126
153 5.4600 5.1968 0.0394 5.1192 5.2745
154 5.9800 5.1563 0.0402 5.0771 5.2355
155 6.0700 5.5097 0.0414 5.4280 5.5914
156 4.7900 5.4499 0.0400 5.3711 5.5287
157 6.0200 5.6018 0.0445 5.5140 5.6896
158 4.9100 4.8882 0.0501 4.7895 4.9869
159 5.9600 5.9278 0.0610 5.8075 6.0481
160 4.4800 4.9797 0.0459 4.8892 5.0703
161 5.1100 4.9085 0.0491 4.8117 5.0053
162 5.0200 4.7502 0.0574 4.6371 4.8634
163 4.7600 4.8387 0.0526 4.7351 4.9424
164 5.9600 5.1636 0.0400 5.0847 5.2424
165 4.8700 4.8813 0.0504 4.7819 4.9807
166 5.1300 4.7480 0.0575 4.6346 4.8614
167 6.2100 6.1815 0.0770 6.0297 6.3334
168 5.9600 5.2502 0.0387 5.1739 5.3265
plot of v2 by cubed root of v1 with best fitting line 85
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Obs 95% CL Predict Residual
127 3.9198 6.0719 -0.0558
128 4.0258 6.1768 0.0987
129 4.2107 6.3608 0.6843
130 4.2799 6.4300 0.1350
131 3.9098 6.0620 -0.0359
132 3.8302 5.9836 0.3931
133 3.9662 6.1178 0.2680
134 3.8960 6.0484 0.1678
135 4.9324 7.0929 0.1673
136 4.6746 6.8288 0.008312
137 3.8876 6.0402 -0.4339
138 4.4008 6.5515 0.1038
139 3.5357 5.6958 -0.3457
140 3.8991 6.0515 0.4447
141 3.8227 5.9762 0.6605
142 4.4759 6.6272 0.2285
143 4.2057 6.3558 0.2493
144 5.8842 8.0931 -0.4486
145 4.8062 6.9633 0.1252
146 4.1009 6.2513 -0.2161
147 4.5664 6.7188 0.007423
148 4.4107 6.5614 0.3039
149 4.0465 6.1972 0.6782
150 3.5340 5.6942 -1.4741
151 4.9823 7.1443 0.5067
152 3.9499 6.1016 0.3043
153 4.1216 6.2720 0.2632
154 4.0810 6.2316 0.8237
155 4.4342 6.5851 0.5603
156 4.3747 6.5251 -0.6599
157 4.5258 6.6777 0.4182
158 3.8113 5.9651 0.0218
159 4.8487 7.0069 0.0322
160 3.9036 6.0559 -0.4997
161 3.8318 5.9852 0.2015
162 3.6719 5.8285 0.2698
163 3.7614 5.9161 -0.0787
164 4.0883 6.2388 0.7964
165 3.8044 5.9583 -0.0113
166 3.6697 5.8263 0.3820
167 5.0985 7.2646 0.0285
168 4.1751 6.3252 0.7098
plot of v2 by cubed root of v1 with best fitting line 86
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Dep Var Predicted Std Error
Obs v2 Value Mean Predict 95% CL Mean
169 5.7100 4.9806 0.0459 4.8902 5.0710
170 5.1700 5.3934 0.0390 5.3165 5.4703
171 5.8300 5.5910 0.0441 5.5040 5.6780
172 5.4800 5.6215 0.0453 5.5322 5.7108
173 5.9700 6.0700 0.0698 5.9324 6.2076
174 5.2300 5.2120 0.0391 5.1348 5.2892
175 5.6500 5.8923 0.0589 5.7761 6.0085
176 5.7600 5.5524 0.0427 5.4681 5.6367
177 5.1500 6.0770 0.0702 5.9385 6.2154
178 6.2300 5.7163 0.0495 5.6186 5.8139
179 5.2700 5.0174 0.0444 4.9298 5.1049
180 5.7200 5.4324 0.0396 5.3543 5.5105
181 6.1500 5.8418 0.0561 5.7313 5.9523
182 5.6900 5.6861 0.0481 5.5913 5.7810
183 5.8500 5.7522 0.0513 5.6510 5.8533
184 6.2000 5.8545 0.0568 5.7426 5.9664
185 5.6400 5.3435 0.0385 5.2675 5.4195
186 5.8600 4.9047 0.0493 4.8075 5.0018
187 3.5300 4.5266 0.0710 4.3867 4.6666
188 5.9600 5.8118 0.0544 5.7046 5.9191
189 4.0200 4.6000 0.0663 4.4691 4.7308
190 4.4200 5.2331 0.0389 5.1564 5.3098
191 3.5200 4.5671 0.0684 4.4322 4.7020
192 4.5300 5.1137 0.0412 5.0324 5.1950
193 4.3200 4.7516 0.0573 4.6386 4.8646
194 2.5700 4.8181 0.0536 4.7123 4.9239
195 6.2000 5.6451 0.0463 5.5538 5.7364
196 5.1900 5.9286 0.0610 5.8082 6.0490
197 2.8600 4.4695 0.0747 4.3222 4.6168
198 4.2700 4.6393 0.0639 4.5133 4.7654
199 5.3200 4.8210 0.0535 4.7155 4.9265
200 5.1600 5.3604 0.0387 5.2842 5.4367
Output Statistics
Obs 95% CL Predict Residual
169 3.9044 6.0568 0.7294
170 4.3183 6.4685 -0.2234
171 4.5151 6.6669 0.2390
172 4.5454 6.6976 -0.1415
plot of v2 by cubed root of v1 with best fitting line 87
The REG Procedure
Model: MODEL1
Dependent Variable: v2
Output Statistics
Obs 95% CL Predict Residual
173 4.9888 7.1511 -0.1000
174 4.1369 6.2871 0.0180
175 4.8137 6.9709 -0.2423
176 4.4767 6.6281 0.2076
177 4.9957 7.1582 -0.9270
178 4.6395 6.7930 0.5137
179 3.9415 6.0933 0.2526
180 4.3572 6.5076 0.2876
181 4.7638 6.9198 0.3082
182 4.6096 6.7627 0.003874
183 4.6751 6.8293 0.0978
184 4.7763 6.9327 0.3455
185 4.2685 6.4186 0.2965
186 3.8279 5.9814 0.9553
187 3.4452 5.6081 -0.9966
188 4.7341 6.8896 0.1482
189 3.5197 5.6803 -0.5800
190 4.1580 6.3082 -0.8131
191 3.4863 5.6479 -1.0471
192 4.0383 6.1891 -0.5837
193 3.6733 5.8299 -0.4316
194 3.7405 5.8956 -2.2481
195 4.5689 6.7213 0.5549
196 4.8495 7.0077 -0.7386
197 3.3871 5.5519 -1.6095
198 3.5596 5.7190 -0.3693
199 3.7435 5.8985 0.4990
200 4.2854 6.4355 -0.2004
Sum of Residuals 0
Sum of Squared Residuals 58.54861
Predicted Residual SS (PRESS) 60.17399
regression of v3 by v1 88
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Analysis of Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
Model 1 38598 38598 16.32 <.0001
Error 198 468247 2364.88608
Corrected Total 199 506846
Root MSE 48.63009 R-Square 0.0762
Dependent Mean 71.53710 Adj R-Sq 0.0715
Coeff Var 67.97885
Parameter Estimates
Parameter Standard
Variable DF Estimate Error t Value Pr > |t|
Intercept 1 -4.05316 19.02395 -0.21 0.8315
v1 1 0.51262 0.12689 4.04 <.0001
plot of v3 by v1 with best fitting line 89
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
1 145.5500 77.9044 3.7826 70.4449 85.3638
2 183.0800 88.5873 5.4439 77.8519 99.3228
3 32.0300 57.6918 4.8548 48.1180 67.2656
4 87.1100 74.7415 3.5290 67.7823 81.7007
5 68.9600 67.9339 3.5524 60.9284 74.9394
6 27.9900 76.4793 3.6498 69.2818 83.6767
7 73.7600 87.0700 5.1582 76.8980 97.2420
8 26.3600 50.7919 6.1800 38.6049 62.9790
9 34.7200 62.8077 4.0612 54.7990 70.8165
10 170.4500 88.3413 5.3968 77.6987 98.9839
11 61.4400 78.0940 3.8024 70.5955 85.5925
12 7.9700 62.4028 4.1154 54.2871 70.5184
13 37.8000 71.4300 3.4388 64.6487 78.2113
14 50.1700 76.5767 3.6579 69.3632 83.7902
15 9.1200 62.0439 4.1649 53.8308 70.2571
16 99.9500 84.0045 4.6204 74.8931 93.1160
17 59.5600 93.2368 6.3777 80.6599 105.8137
18 108.7000 64.8275 3.8187 57.2968 72.3581
19 11.4300 70.3791 3.4506 63.5745 77.1837
20 18.2200 85.3425 4.8478 75.7824 94.9025
21 39.3400 86.8803 5.1233 76.7771 96.9835
22 53.8600 85.1887 4.8211 75.6814 94.6960
23 82.4800 71.9170 3.4400 65.1333 78.7006
24 69.5600 68.6260 3.5134 61.6976 75.5544
25 96.8300 65.5861 3.7409 58.2090 72.9632
26 27.0100 62.0644 4.1620 53.8569 70.2720
27 18.3800 62.7821 4.0646 54.7667 70.7975
28 47.9700 69.9998 3.4597 63.1773 76.8223
29 27.3000 74.3981 3.5108 67.4746 81.3215
30 68.9300 60.4958 4.3925 51.8338 69.1578
31 12.4400 71.1480 3.4400 64.3643 77.9318
32 31.4500 58.6043 4.6981 49.3395 67.8690
33 105.7200 81.9694 4.3003 73.4892 90.4497
34 60.2200 84.6761 4.7330 75.3425 94.0097
35 173.2700 65.8322 3.7173 58.5016 73.1628
36 124.1700 74.7518 3.5295 67.7915 81.7121
37 65.2900 66.0577 3.6965 58.7682 73.3473
38 20.0400 72.7628 3.4520 65.9553 79.5703
39 280.5700 98.7782 7.5691 83.8518 113.7046
40 84.9900 57.3535 4.9143 47.6624 67.0445
41 69.1600 76.1256 3.6214 68.9842 83.2670
42 70.5100 49.2182 6.5073 36.3857 62.0507
plot of v3 by v1 with best fitting line 90
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
1 -18.2847 174.0934 67.6456
2 -7.9111 185.0858 94.4927
3 -38.6843 154.0679 -25.6618
4 -21.4101 170.8931 12.3685
5 -28.2210 164.0889 1.0261
6 -19.6898 172.6484 -48.4893
7 -9.3674 183.5074 -13.3100
8 -45.8787 147.4626 -24.4319
9 -33.4255 159.0410 -28.0877
10 -8.1468 184.8294 82.1087
11 -18.0981 174.2861 -16.6540
12 -33.8394 158.6450 -54.4328
13 -24.7089 167.5688 -33.6300
14 -19.5936 172.7470 -26.4067
15 -34.2065 158.2944 -52.9239
16 -12.3267 180.3358 15.9455
17 -3.4838 189.9574 -33.6768
18 -31.3672 161.0221 43.8725
19 -25.7614 166.5196 -58.9491
20 -11.0323 181.7172 -67.1225
21 -9.5498 183.3105 -47.5403
22 -11.1808 181.5582 -31.3287
23 -24.2220 168.0560 10.5630
24 -27.5234 164.7753 0.9340
25 -30.5966 161.7689 31.2439
26 -34.1855 158.3144 -35.0544
27 -33.4517 159.0159 -44.4021
28 -26.1420 166.1416 -22.0298
29 -21.7509 170.5470 -47.0981
30 -35.7940 156.7856 8.4342
31 -24.9910 167.2871 -58.7080
32 -37.7416 154.9501 -27.1543
33 -14.3042 178.2431 23.7506
34 -11.6765 181.0286 -24.4561
35 -30.3470 162.0114 107.4378
36 -21.3999 170.9034 49.4182
37 -30.1183 162.2338 -0.7677
38 -23.3779 168.9035 -52.7228
39 1.7242 195.8323 181.7918
40 -39.0343 153.7413 27.6365
41 -20.0394 172.2905 -6.9656
42 -47.5359 145.9724 21.2918
plot of v3 by v1 with best fitting line 91
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
43 94.5000 73.7624 3.4825 66.8948 80.6300
44 38.0600 44.1587 7.5994 29.1725 59.1448
45 46.4700 60.1421 4.4475 51.3716 68.9126
46 22.9400 74.2391 3.5031 67.3310 81.1473
47 70.0100 72.1528 3.4420 65.3650 78.9405
48 41.1700 97.9990 7.3978 83.4105 112.5876
49 42.7100 33.8038 9.9529 14.1765 53.4310
50 64.3900 70.7533 3.4441 63.9614 77.5452
51 49.7800 62.7719 4.0659 54.7538 70.7899
52 15.0700 62.6693 4.0795 54.6244 70.7142
53 8.4000 73.4138 3.4699 66.5711 80.2565
54 19.5700 87.1366 5.1705 76.9403 97.3329
55 14.6900 49.0285 6.5472 36.1174 61.9397
56 86.3600 61.0597 4.3070 52.5662 69.5532
57 44.8400 45.2762 7.3538 30.7744 59.7779
58 108.1400 69.4000 3.4791 62.5391 76.2609
59 16.2600 72.0861 3.4414 65.2997 78.8725
60 22.6800 47.5368 6.8641 34.0006 61.0730
61 22.0100 82.9742 4.4541 74.1906 91.7577
62 52.9100 105.6319 9.1130 87.6609 123.6030
63 167.9800 57.8610 4.8254 48.3453 67.3766
64 21.1400 64.5814 3.8456 56.9978 72.1650
65 23.3100 53.5806 5.6196 42.4987 64.6625
66 59.2300 62.8693 4.0531 54.8764 70.8621
67 54.4900 66.3756 3.6683 59.1415 73.6096
68 52.2300 74.9466 3.5407 67.9642 81.9289
69 144.9800 80.9852 4.1586 72.7844 89.1860
70 113.8100 78.0274 3.7954 70.5427 85.5121
71 73.2500 101.3208 8.1348 85.2789 117.3627
72 23.3700 63.3306 3.9938 55.4547 71.2065
73 35.9500 54.7801 5.3878 44.1552 65.4050
74 32.6400 71.8452 3.4395 65.0624 78.6280
75 96.2500 64.0688 3.9041 56.3699 71.7677
76 159.6400 61.2545 4.2781 52.8179 69.6911
77 90.3400 71.3890 3.4389 64.6075 78.1705
78 85.9600 60.4548 4.3988 51.7803 69.1293
79 44.5600 76.2076 3.6278 69.0535 83.3617
80 12.3000 56.5897 5.0511 46.6288 66.5505
81 49.5000 64.0688 3.9041 56.3699 71.7677
82 79.0100 69.4308 3.4780 62.5722 76.2894
83 149.3800 78.5144 3.8480 70.9260 86.1027
84 92.9000 74.0700 3.4954 67.1771 80.9629
plot of v3 by v1 with best fitting line 92
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
43 -22.3826 169.9074 20.7376
44 -52.9046 141.2219 -6.0987
45 -36.1575 156.4417 -13.6721
46 -21.9088 170.3870 -51.2991
47 -23.9865 168.2921 -2.1428
48 0.9963 195.0017 -56.8290
49 -64.0835 131.6911 8.9062
50 -25.3863 166.8929 -6.3633
51 -33.4622 159.0059 -12.9919
52 -33.5669 158.9056 -47.5993
53 -22.7294 169.5570 -65.0138
54 -9.3033 183.5766 -67.5666
55 -47.7361 145.7932 -34.3385
56 -35.2151 157.3345 25.3003
57 -51.7135 142.2658 -0.4362
58 -26.7445 165.5445 38.7400
59 -24.0531 168.2254 -55.8261
60 -49.3132 144.3868 -24.8568
61 -13.3266 179.2750 -60.9642
62 8.0632 203.2006 -52.7219
63 -38.5094 154.2313 110.1190
64 -31.6174 160.7802 -43.4414
65 -42.9570 150.1182 -30.2706
66 -33.3627 159.1012 -3.6393
67 -29.7963 162.5474 -11.8856
68 -21.2067 171.0998 -22.7166
69 -15.2642 177.2346 63.9948
70 -18.1636 174.2184 35.7826
71 4.0889 198.5527 -28.0708
72 -32.8917 159.5529 -39.9606
73 -41.7061 151.2663 -18.8301
74 -24.2938 167.9842 -39.2052
75 -32.1392 160.2767 32.1812
76 -35.0153 157.5243 98.3855
77 -24.7499 167.5279 18.9510
78 -35.8361 156.7457 25.5052
79 -19.9583 172.3735 -31.6476
80 -39.8256 153.0050 -44.2897
81 -32.1392 160.2767 -14.5688
82 -26.7136 165.5751 9.5792
83 -17.6848 174.7135 70.8656
84 -22.0768 170.2168 18.8300
plot of v3 by v1 with best fitting line 93
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
85 23.4900 89.3204 5.5857 78.3052 100.3356
86 169.2900 90.1047 5.7400 78.7854 101.4240
87 45.0600 65.6887 3.7310 58.3311 73.0462
88 41.3600 74.5108 3.5166 67.5761 81.4456
89 175.7000 70.0613 3.4580 63.2420 76.8806
90 35.5600 72.5219 3.4473 65.7237 79.3200
91 94.6300 79.8574 4.0082 71.9531 87.7618
92 48.7600 84.6145 4.7226 75.3016 93.9275
93 35.6600 57.6610 4.8602 48.0766 67.2454
94 79.8500 97.5684 7.3036 83.1656 111.9712
95 83.1700 91.7297 6.0668 79.7658 103.6936
96 44.5100 78.9450 3.8970 71.2600 86.6300
97 67.3200 55.7695 5.2016 45.5117 66.0272
98 118.6100 60.9264 4.3270 52.3936 69.4593
99 173.4700 82.8614 4.4364 74.1127 91.6100
100 36.0600 55.6875 5.2169 45.3997 65.9753
101 39.1400 52.4016 5.8531 40.8591 63.9441
102 135.7300 87.8492 5.3035 77.3906 98.3078
103 78.5300 85.7731 4.9236 76.0637 95.4824
104 172.7400 92.5396 6.2330 80.2480 104.8313
105 34.9700 55.6413 5.2255 45.3366 65.9461
106 66.0100 76.5459 3.6553 69.3375 83.7543
107 173.6700 82.9588 4.4517 74.1800 91.7376
108 21.0600 81.0929 4.1736 72.8624 89.3233
109 46.9000 44.9942 7.4155 30.3707 59.6178
110 87.4600 71.8452 3.4395 65.0624 78.6280
111 106.9400 64.3405 3.8727 56.7035 71.9775
112 43.1000 57.8610 4.8254 48.3453 67.3766
113 17.4600 82.9024 4.4428 74.1411 91.6637
114 26.1600 77.2123 3.7145 69.8872 84.5375
115 77.5800 86.7829 5.1054 76.7149 96.8510
116 107.7300 55.4773 5.2561 45.1121 65.8425
117 40.2800 80.5905 4.1044 72.4965 88.6845
118 111.1200 88.6847 5.4626 77.9124 99.4571
119 36.4100 69.4923 3.4757 62.6381 76.3465
120 31.5800 74.5877 3.5206 67.6450 81.5304
121 39.9700 109.0665 9.9055 89.5326 128.6003
122 116.2600 83.4407 4.5284 74.5107 92.3706
123 115.1800 85.3271 4.8452 75.7723 94.8818
124 38.7600 55.5901 5.2350 45.2665 65.9137
125 7.4000 51.8890 5.9563 40.1430 63.6349
126 74.5900 80.6110 4.1072 72.5115 88.7105
plot of v3 by v1 with best fitting line 94
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
85 -7.2095 185.8503 -65.8304
86 -6.4604 186.6698 79.1853
87 -30.4926 161.8699 -20.6287
88 -21.6390 170.6606 -33.1508
89 -26.0802 166.2028 105.6387
90 -23.6182 168.6619 -36.9619
91 -16.3671 176.0820 14.7726
92 -11.7360 180.9651 -35.8545
93 -38.7161 154.0382 -22.0010
94 0.5935 194.5433 -17.7184
95 -4.9131 188.3725 -8.5597
96 -17.2618 175.1518 -34.4350
97 -40.6770 152.2159 11.5505
98 -35.3518 157.2047 57.6836
99 -13.4362 179.1590 90.6086
100 -40.7622 152.1371 -19.6275
101 -44.1900 148.9931 -13.2616
102 -8.6188 184.3172 47.8808
103 -10.6166 182.1627 -7.2431
104 -4.1443 189.2236 80.2004
105 -40.8101 152.0928 -20.6713
106 -19.6240 172.7159 -10.5359
107 -13.3416 179.2592 90.7112
108 -15.1591 177.3448 -60.0329
109 -52.0137 142.0022 1.9058
110 -24.2938 167.9842 15.6148
111 -31.8625 160.5435 42.5995
112 -38.5094 154.2313 -14.7610
113 -13.3964 179.2012 -65.4424
114 -18.9664 173.3911 -51.0523
115 -9.6435 183.2094 -9.2029
116 -40.9806 151.9352 52.2527
117 -15.6499 176.8308 -40.3105
118 -7.8178 185.1873 22.4353
119 -26.6517 165.6363 -33.0823
120 -21.5627 170.7381 -43.0077
121 11.1979 206.9351 -69.0965
122 -12.8736 179.7549 32.8193
123 -11.0471 181.7013 29.8529
124 -40.8634 152.0435 -16.8301
125 -44.7271 148.5050 -44.4890
126 -15.6298 176.8518 -6.0210
plot of v3 by v1 with best fitting line 95
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
127 50.4600 64.3815 3.8680 56.7537 72.0093
128 84.7000 67.9237 3.5531 60.9169 74.9304
129 90.4800 73.3933 3.4692 66.5519 80.2347
130 110.2100 75.2593 3.5600 68.2390 82.2795
131 58.2100 64.0278 3.9089 56.3194 71.7362
132 85.2000 61.0802 4.3040 52.5927 69.5677
133 28.9700 65.9757 3.7040 58.6714 73.2800
134 33.3900 63.5357 3.9683 55.7102 71.3611
135 53.7900 89.7612 5.6721 78.5757 100.9468
136 97.3700 84.5684 4.7148 75.2708 93.8660
137 35.2700 63.2332 4.0061 55.3330 71.1334
138 143.8100 78.3298 3.8277 70.7815 85.8782
139 37.7700 46.8192 7.0184 32.9787 60.6596
140 35.4700 63.6484 3.9544 55.8503 71.4466
141 67.8800 60.7880 4.3478 52.2140 69.3620
142 110.2700 80.1291 4.0432 72.1559 88.1024
143 61.4600 73.2549 3.4649 66.4222 80.0877
144 84.5300 105.3807 9.0555 87.5232 123.2383
145 53.5100 87.2904 5.1990 77.0379 97.5429
146 118.4000 70.2407 3.4536 63.4301 77.0513
147 78.8400 82.2052 4.3356 73.6554 90.7551
148 64.3700 78.5708 3.8543 70.9700 86.1715
149 43.4800 68.5747 3.5160 61.6411 75.5083
150 78.2100 46.7166 7.0406 32.8325 60.6008
151 63.4600 90.7045 5.8595 79.1494 102.2595
152 110.6700 65.4221 3.7571 58.0131 72.8311
153 57.2100 70.8559 3.4428 64.0666 77.6451
154 81.5400 69.6409 3.4706 62.7970 76.4849
155 42.0000 79.1398 3.9199 71.4096 86.8699
156 82.6500 77.6839 3.7602 70.2687 85.0992
157 26.3600 81.2877 4.2011 73.0029 89.5724
158 21.9100 60.3420 4.4163 51.6331 69.0510
159 86.7400 88.1362 5.3578 77.5706 98.7019
160 87.7400 63.8073 3.9351 56.0472 71.5675
161 31.3100 61.1417 4.2948 52.6723 69.6112
162 61.1100 54.2778 5.4841 43.4630 65.0926
163 73.2800 58.3018 4.7494 48.9358 67.6678
164 30.7100 69.8614 3.4636 63.0311 76.6916
165 151.2500 60.0652 4.4596 51.2709 68.8596
166 104.4000 54.1701 5.5049 43.3143 65.0259
167 276.3100 92.8370 6.2945 80.4240 105.2499
168 56.5400 72.3988 3.4453 65.6047 79.1930
plot of v3 by v1 with best fitting line 96
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
127 -31.8208 160.5838 -13.9215
128 -28.2313 164.0787 16.7763
129 -22.7498 169.5364 17.0867
130 -20.8968 171.4153 34.9507
131 -32.1809 160.2365 -5.8178
132 -35.1940 157.3545 24.1198
133 -30.2014 162.1529 -37.0057
134 -32.6825 159.7538 -30.1457
135 -6.7883 186.3108 -35.9712
136 -11.7806 180.9175 12.8016
137 -32.9910 159.4575 -27.9632
138 -17.8662 174.5258 65.4802
139 -50.0738 143.7122 -9.0492
140 -32.5675 159.8644 -28.1784
141 -35.4939 157.0699 7.0920
142 -16.1012 176.3594 30.1409
143 -22.8876 169.3974 -11.7949
144 7.8329 202.9286 -20.8507
145 -9.1555 183.7363 -33.7804
146 -25.9002 166.3816 48.1593
147 -14.0745 178.4850 -3.3652
148 -17.6294 174.7709 -14.2008
149 -27.5750 164.7244 -25.0947
150 -50.1826 143.6159 31.4934
151 -5.8886 187.2975 -27.2445
152 -30.7631 161.6073 45.2479
153 -25.2836 166.9953 -13.6459
154 -26.5024 165.7842 11.8991
155 -17.0707 175.3502 -37.1398
156 -18.5017 173.8696 4.9661
157 -14.9689 177.5442 -54.9277
158 -35.9520 156.6361 -38.4320
159 -8.3434 184.6159 -1.3962
160 -32.4055 160.0202 23.9327
161 -35.1309 157.4144 -29.8317
162 -42.2295 150.7850 6.8322
163 -38.0539 154.6575 14.9782
164 -26.2810 166.0037 -39.1514
165 -36.2366 156.3670 91.1848
166 -42.3418 150.6820 50.2299
167 -3.8625 189.5364 183.4730
168 -23.7409 168.5386 -15.8588
plot of v3 by v1 with best fitting line 97
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
169 49.4300 63.8381 3.9314 56.0853 71.5910
170 99.4300 76.2589 3.6319 69.0968 83.4210
171 17.1700 81.0416 4.1664 72.8253 89.2579
172 169.0500 81.7336 4.2655 73.3220 90.1453
173 51.4800 90.8275 5.8842 79.2237 102.4313
174 47.7500 71.3018 3.4392 64.5197 78.0839
175 31.8500 87.4391 5.2266 77.1320 97.7461
176 44.1500 80.1496 4.0459 72.1711 88.1282
177 70.4500 90.9556 5.9100 79.3011 102.6102
178 127.2800 83.8149 4.5892 74.7650 92.8648
179 58.2000 65.1350 3.7862 57.6685 72.6016
180 181.5500 77.2482 3.7179 69.9164 84.5800
181 42.7900 86.4292 5.0411 76.4881 96.3703
182 46.7900 83.1638 4.4841 74.3212 92.0065
183 127.5300 84.5787 4.7165 75.2777 93.8797
184 180.0300 86.6855 5.0877 76.6526 96.7185
185 21.6000 74.9568 3.5413 67.9733 81.9403
186 35.9700 60.9931 4.3170 52.4799 69.5062
187 22.8600 40.3243 8.4567 23.6475 57.0010
188 75.3300 85.8192 4.9317 76.0937 95.5447
189 27.5100 45.7888 7.2419 31.5077 60.0699
190 68.7100 71.9119 3.4399 65.1283 78.6954
191 107.1800 43.4974 7.7457 28.2227 58.7720
192 3.0400 68.3184 3.5298 61.3576 75.2791
193 100.4000 54.3444 5.4713 43.5549 65.1339
194 176.2400 57.4099 4.9043 47.7384 67.0813
195 277.8600 82.2616 4.3441 73.6950 90.8283
196 40.3600 88.1516 5.3607 77.5802 98.7231
197 23.0200 34.8751 9.7045 15.7378 54.0125
198 77.5400 48.2852 6.7044 35.0640 61.5065
199 72.0600 57.5380 4.8818 47.9111 67.1649
200 75.3000 75.4028 3.5693 68.3640 82.4415
Output Statistics
Obs 95% CL Predict Residual
169 -32.3742 160.0504 -14.4081
170 -19.9076 172.4253 23.1711
171 -15.2091 177.2923 -63.8716
172 -14.5340 178.0012 87.3164
plot of v3 by v1 with best fitting line 98
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
173 -5.7714 187.4264 -39.3475
174 -24.8371 167.4407 -23.5518
175 -9.0126 183.8908 -55.5891
176 -16.0811 176.3804 -35.9996
177 -5.6493 187.5606 -20.5056
178 -12.5106 180.1403 43.4651
179 -31.0546 161.3246 -6.9350
180 -18.9310 173.4275 104.3018
181 -9.9841 182.8425 -43.6392
182 -13.1424 179.4701 -36.3738
183 -11.7707 180.9280 42.9513
184 -9.7373 183.1083 93.3445
185 -21.1965 171.1101 -53.3568
186 -35.2834 157.2696 -25.0231
187 -57.0144 137.6629 -17.4643
188 -10.5721 182.2105 -10.4892
189 -51.1681 142.7457 -18.2788
190 -24.2272 168.0509 -3.2019
191 -53.6109 140.6056 63.6826
192 -27.8333 164.4701 -65.2784
193 -42.1600 150.8488 46.0556
194 -38.9760 153.7957 118.8301
195 -14.0196 178.5429 195.5984
196 -8.3287 184.6319 -47.7916
197 -62.9151 132.6654 -11.8551
198 -48.5212 145.0917 29.2548
199 -38.8434 153.9194 14.5220
200 -20.7546 171.5601 -0.1028
Sum of Residuals 0
Sum of Squared Residuals 468247
Predicted Residual SS (PRESS) 478814
regression of v3 by square of v1 99
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Analysis of Variance
Sum of Mean
Source DF Squares Square F Value Pr > F
Model 1 38129 38129 16.11 <.0001
Error 198 468717 2367.25561
Corrected Total 199 506846
Root MSE 48.65445 R-Square 0.0752
Dependent Mean 71.53710 Adj R-Sq 0.0706
Coeff Var 68.01289
Parameter Estimates
Parameter Standard
Variable DF Estimate Error t Value Pr > |t|
Intercept 1 32.77869 10.25192 3.20 0.0016
sqv1 1 0.00172 0.00042963 4.01 <.0001
plot of v3 by square of v1 with best fitting line 100
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
1 145.5500 76.8530 3.6866 69.5830 84.1230
2 183.0800 89.0918 5.5650 78.1176 100.0661
3 32.0300 57.7943 4.8541 48.2220 67.3666
4 87.1100 73.5169 3.4756 66.6630 80.3708
5 68.9600 66.7817 3.6387 59.6061 73.9573
6 27.9900 75.3336 3.5681 68.2973 82.3699
7 73.7600 87.2622 5.2143 76.9796 97.5449
8 26.3600 52.5158 5.8566 40.9666 64.0651
9 34.7200 62.1114 4.1656 53.8968 70.3260
10 170.4500 88.7931 5.5067 77.9338 99.6523
11 61.4400 77.0572 3.7052 69.7506 84.3639
12 7.9700 61.7572 4.2160 53.4431 70.0712
13 37.8000 70.1646 3.4573 63.3467 76.9825
14 50.1700 75.4366 3.5750 68.3867 82.4865
15 9.1200 61.4451 4.2614 53.0415 69.8486
16 99.9500 83.6582 4.5780 74.6303 92.6860
17 59.5600 94.8862 6.7590 81.5573 108.2150
18 108.7000 63.9103 3.9303 56.1596 71.6610
19 11.4300 69.1309 3.4922 62.2441 76.0176
20 18.2200 85.2160 4.8429 75.6658 94.7662
21 39.3400 87.0357 5.1720 76.8364 97.2349
22 53.8600 85.0358 4.8113 75.5477 94.5238
23 82.4800 70.6486 3.4475 63.8500 77.4471
24 69.5600 67.4386 3.5888 60.3615 74.5157
25 96.8300 64.5999 3.8502 57.0072 72.1926
26 27.0100 61.4628 4.2588 53.0644 69.8613
27 18.3800 62.0889 4.1688 53.8681 70.3098
28 47.9700 68.7613 3.5092 61.8410 75.6815
29 27.3000 73.1625 3.4641 66.3311 79.9939
30 68.9300 60.1179 4.4645 51.3138 68.9221
31 12.4400 69.8858 3.4649 63.0530 76.7187
32 31.4500 58.5391 4.7250 49.2214 67.8569
33 105.7200 81.3336 4.2184 73.0149 89.6523
34 60.2200 84.4371 4.7083 75.1523 93.7220
35 173.2700 64.8252 3.8253 57.2815 72.3688
36 124.1700 73.5275 3.4760 66.6728 80.3821
37 65.2900 65.0324 3.8031 57.5327 72.5320
38 20.0400 71.4965 3.4404 64.7120 78.2810
39 280.5700 102.1627 8.3706 85.6556 118.6697
40 84.9900 57.5209 4.9024 47.8533 67.1884
41 69.1600 74.9606 3.5446 67.9707 81.9506
42 70.5100 51.3994 6.0839 39.4018 63.3969
plot of v3 by square of v1 with best fitting line 101
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
1 -19.3694 173.0755 68.6970
2 -7.4812 185.6648 93.9882
3 -38.6295 154.2180 -25.7643
4 -22.6751 169.7088 13.5931
5 -29.4337 162.9971 2.1783
6 -20.8715 171.5387 -47.3436
7 -9.2346 183.7591 -13.5022
8 -44.1242 149.1558 -26.1558
9 -34.1870 158.4098 -27.3914
10 -7.7669 185.3531 81.6569
11 -19.1680 173.2825 -15.6172
12 -34.5498 158.0641 -53.7872
13 -26.0248 166.3540 -32.3646
14 -20.7695 171.6427 -25.2666
15 -34.8697 157.7598 -52.3251
16 -12.7131 180.0294 16.2918
17 -1.9826 191.7550 -35.3262
18 -32.3496 160.1703 44.7897
19 -27.0634 165.3251 -57.7009
20 -11.2055 181.6376 -66.9960
21 -9.4523 183.5237 -47.6957
22 -11.3797 181.4512 -31.1758
23 -25.5394 166.8365 11.8314
24 -28.7695 163.6467 2.1214
25 -31.6475 160.8473 32.2301
26 -34.8514 157.7771 -34.4528
27 -34.2100 158.3879 -43.7089
28 -27.4354 164.9580 -20.7913
29 -23.0278 169.3528 -45.8625
30 -36.2326 156.4685 8.8121
31 -26.3046 166.0763 -57.4458
32 -37.8597 154.9379 -27.0891
33 -14.9738 177.6410 24.3864
34 -11.9585 180.8328 -24.2171
35 -31.4184 161.0687 108.4448
36 -22.6645 169.7194 50.6425
37 -31.2077 161.2724 0.2576
38 -24.6905 167.6835 -51.4565
39 4.8056 199.5197 178.4073
40 -38.9123 153.9541 27.4691
41 -21.2411 171.1623 -5.8006
42 -45.2952 148.0940 19.1106
plot of v3 by square of v1 with best fitting line 102
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
43 94.5000 72.5107 3.4489 65.7094 79.3121
44 38.0600 48.0303 6.7929 34.6346 61.4259
45 46.4700 59.8191 4.5123 50.9207 68.7176
46 22.9400 72.9991 3.4596 66.1766 79.8215
47 70.0100 70.8840 3.4442 64.0919 77.6761
48 41.1700 101.1152 8.1334 85.0759 117.1544
49 42.7100 42.1824 8.0830 26.2425 58.1222
50 64.3900 69.4973 3.4777 62.6392 76.3555
51 49.7800 62.0799 4.1700 53.8566 70.3033
52 15.0700 61.9901 4.1827 53.7417 70.2385
53 8.4000 72.1556 3.4438 65.3643 78.9469
54 19.5700 87.3420 5.2292 77.0298 97.6541
55 14.6900 51.2670 6.1111 39.2158 63.3182
56 86.3600 60.5977 4.3893 51.9419 69.2535
57 44.8400 48.7455 6.6398 35.6517 61.8393
58 108.1400 68.1808 3.5406 61.1987 75.1629
59 16.2600 70.8174 3.4451 64.0237 77.6111
60 22.6800 50.2425 6.3237 37.7720 62.7130
61 22.0100 82.4744 4.3890 73.8193 91.1296
62 52.9100 111.7198 10.5869 90.8422 132.5973
63 167.9800 57.9315 4.8300 48.4067 67.4564
64 21.1400 63.6883 3.9574 55.8843 71.4924
65 23.3100 54.5739 5.4499 43.8267 65.3212
66 59.2300 62.1654 4.1580 53.9657 70.3651
67 54.4900 65.3254 3.7725 57.8860 72.7649
68 52.2300 73.7292 3.4835 66.8597 80.5986
69 144.9800 80.2289 4.0653 72.2120 88.2457
70 113.8100 76.9854 3.6985 69.6918 84.2790
71 73.2500 105.6362 9.1666 87.5596 123.7129
72 23.3700 62.5720 4.1020 54.4828 70.6612
73 35.9500 55.4906 5.2747 45.0888 65.8925
74 32.6400 70.5770 3.4487 63.7761 77.3779
75 96.2500 63.2283 4.0153 55.3101 71.1465
76 159.6400 60.7644 4.3636 52.1592 69.3696
77 90.3400 70.1240 3.4584 63.3040 76.9439
78 85.9600 60.0832 4.4700 51.2682 68.8982
79 44.5600 75.0470 3.5498 68.0467 82.0472
80 12.3000 56.9092 5.0121 47.0253 66.7931
81 49.5000 63.2283 4.0153 55.3101 71.1465
82 79.0100 68.2104 3.5388 61.2318 75.1891
83 149.3800 77.5115 3.7486 70.1192 84.9039
84 92.9000 72.8254 3.4553 66.0115 79.6394
plot of v3 by square of v1 with best fitting line 103
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
43 -23.6775 168.6989 21.9893
44 -48.8478 144.9083 -9.9703
45 -36.5400 156.1783 -13.3491
46 -23.1906 169.1887 -50.0591
47 -25.3035 167.0715 -0.8740
48 3.8364 198.3940 -59.9452
49 -55.0801 139.4448 0.5276
50 -26.6949 165.6895 -5.1073
51 -34.2193 158.3791 -12.2999
52 -34.3112 158.2914 -46.9201
53 -24.0319 168.3430 -63.7556
54 -9.1580 183.8420 -67.7720
55 -45.4343 147.9683 -36.5770
56 -35.7394 156.9348 25.7623
57 -48.0912 145.5823 -3.9055
58 -28.0203 164.3819 39.9592
59 -25.3703 167.0050 -54.5574
60 -46.5120 146.9969 -27.5625
61 -13.8626 178.8115 -60.4644
62 13.5272 209.9123 -58.8098
63 -38.4875 154.3506 110.0485
64 -32.5760 159.9526 -42.5483
65 -41.9735 151.1214 -31.2639
66 -34.1318 158.4626 -2.9354
67 -30.9100 161.5608 -10.8354
68 -22.4639 169.9222 -21.4992
69 -16.0529 176.5106 64.7511
70 -19.2388 173.2097 36.8246
71 8.0008 203.2717 -32.3862
72 -33.7158 158.8598 -39.2020
73 -41.0190 152.0002 -19.5406
74 -25.6111 166.7652 -37.9370
75 -33.0453 159.5019 33.0217
76 -35.5681 157.0969 98.8756
77 -26.0655 166.3135 20.2160
78 -36.2683 156.4347 25.8768
79 -21.1555 171.2494 -30.4870
80 -39.5460 153.3644 -44.6092
81 -33.0453 159.5019 -13.7283
82 -27.9904 164.4113 10.7996
83 -18.7202 173.7433 71.8685
84 -23.3636 169.0145 20.0746
plot of v3 by square of v1 with best fitting line 104
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
85 23.4900 89.9865 5.7419 78.6635 101.3096
86 169.2900 90.9516 5.9361 79.2455 102.6578
87 45.0600 64.6937 3.8398 57.1215 72.2658
88 41.3600 73.2787 3.4676 66.4404 80.1169
89 175.7000 68.8211 3.5063 61.9066 75.7356
90 35.5600 71.2540 3.4411 64.4681 78.0399
91 94.6300 78.9787 3.9082 71.2715 86.6858
92 48.7600 84.3655 4.6961 75.1047 93.6264
93 35.6600 57.7694 4.8585 48.1884 67.3503
94 79.8500 100.5397 8.0037 84.7562 116.3232
95 83.1700 92.9769 6.3541 80.4465 105.5073
96 44.5100 77.9793 3.7964 70.4927 85.4660
97 67.3200 56.2609 5.1308 46.1430 66.3788
98 118.6100 60.4839 4.4070 51.7933 69.1746
99 173.4700 82.3457 4.3692 73.7297 90.9618
100 36.0600 56.1966 5.1427 46.0551 66.3380
101 39.1400 53.6913 5.6222 42.6043 64.7783
102 135.7300 88.1980 5.3917 77.5655 98.8305
103 78.5300 85.7224 4.9325 75.9955 95.4493
104 172.7400 93.9993 6.5697 81.0436 106.9549
105 34.9700 56.1604 5.1494 46.0058 66.3150
106 66.0100 75.4041 3.5728 68.3585 82.4496
107 173.6700 82.4569 4.3863 73.8071 91.1067
108 21.0600 80.3491 4.0813 72.3006 88.3975
109 46.9000 48.5635 6.6786 35.3931 61.7339
110 87.4600 70.5770 3.4487 63.7761 77.3779
111 106.9400 63.4717 3.9843 55.6145 71.3289
112 43.1000 57.9315 4.8300 48.4067 67.4564
113 17.4600 82.3925 4.3763 73.7623 91.0227
114 26.1600 76.1118 3.6243 68.9646 83.2590
115 77.5800 86.9195 5.1504 76.7628 97.0762
116 107.7300 56.0321 5.1732 45.8304 66.2337
117 40.2800 79.7894 4.0080 71.8855 87.6933
118 111.1200 89.2103 5.5882 78.1902 100.2304
119 36.4100 68.2698 3.5354 61.2979 75.2417
120 31.5800 73.3580 3.4702 66.5147 80.2013
121 39.9700 116.7409 11.7771 93.5162 139.9656
122 116.2600 83.0086 4.4729 74.1881 91.8292
123 115.1800 85.1980 4.8397 75.6540 94.7419
124 38.7600 56.1203 5.1568 45.9509 66.2896
125 7.4000 53.3133 5.6970 42.0788 64.5478
126 74.5900 79.8122 4.0109 71.9025 87.7218
plot of v3 by square of v1 with best fitting line 105
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
85 -6.6267 186.5998 -66.4965
86 -5.7073 187.6105 78.3384
87 -31.5521 160.9394 -19.6337
88 -22.9121 169.4695 -31.9187
89 -27.3752 165.0174 106.8789
90 -24.9331 167.4411 -35.6940
91 -17.2778 175.2351 15.6513
92 -12.0278 180.7588 -35.6055
93 -38.6552 154.1940 -22.1094
94 3.3027 197.7767 -20.6897
95 -3.7853 189.7391 -9.8069
96 -18.2597 174.2184 -33.4693
97 -40.2185 152.7403 11.0591
98 -35.8563 156.8241 58.1261
99 -13.9878 178.6792 91.1243
100 -40.2853 152.6785 -20.1366
101 -42.8946 150.2772 -14.5513
102 -8.3368 184.7327 47.5320
103 -10.7168 182.1616 -7.1924
104 -2.8189 190.8174 78.7407
105 -40.3229 152.6437 -21.1904
106 -20.8017 171.6098 -9.3941
107 -13.8797 178.7934 91.2131
108 -15.9353 176.6335 -59.2891
109 -48.2836 145.4106 -1.6635
110 -25.6111 166.7652 16.8830
111 -32.7969 159.7403 43.4683
112 -38.4875 154.3506 -14.8315
113 -13.9423 178.7273 -64.9325
114 -20.1014 172.3251 -49.9518
115 -9.5640 183.4030 -9.3395
116 -40.4562 152.5203 51.6979
117 -16.4830 176.0618 -39.5094
118 -7.3679 185.7885 21.9097
119 -27.9306 164.4702 -31.8598
120 -22.8332 169.5492 -41.7780
121 18.0227 215.4592 -76.7709
122 -13.3434 179.3606 33.2514
123 -11.2230 181.6189 29.9820
124 -40.3646 152.6051 -17.3603
125 -43.2897 149.9162 -45.9133
126 -16.4607 176.0851 -5.2222
plot of v3 by square of v1 with best fitting line 106
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
127 50.4600 63.5085 3.9797 55.6604 71.3566
128 84.7000 66.7720 3.6395 59.5948 73.9492
129 90.4800 72.1347 3.4436 65.3439 78.9256
130 110.2100 74.0540 3.4971 67.1577 80.9503
131 58.2100 63.1917 4.0200 55.2642 71.1191
132 85.2000 60.6152 4.3866 51.9648 69.2657
133 28.9700 64.9569 3.8111 57.4414 72.4725
134 33.3900 62.7536 4.0775 54.7126 70.7945
135 53.7900 90.5280 5.8504 78.9908 102.0652
136 97.3700 84.3119 4.6870 75.0689 93.5548
137 35.2700 62.4859 4.1137 54.3736 70.5982
138 143.8100 77.3118 3.7292 69.9578 84.6658
139 37.7700 49.7600 6.4249 37.0899 62.4301
140 35.4700 62.8537 4.0642 54.8390 70.8683
141 67.8800 60.3660 4.4254 51.6391 69.0930
142 110.2700 79.2783 3.9442 71.5003 87.0564
143 61.4600 71.9942 3.4423 65.2060 78.7824
144 84.5300 111.3586 10.5018 90.6488 132.0684
145 53.5100 87.5262 5.2639 77.1457 97.9066
146 118.4000 68.9958 3.4982 62.0973 75.8943
147 78.8400 81.6001 4.2572 73.2050 89.9953
148 64.3700 77.5727 3.7547 70.1683 84.9770
149 43.4800 67.3897 3.5922 60.3057 74.4737
150 78.2100 49.6916 6.4393 36.9931 62.3901
151 63.4600 91.6951 6.0880 79.6894 103.7008
152 110.6700 64.4502 3.8671 56.8242 72.0762
153 57.2100 69.5980 3.4741 62.7470 76.4491
154 81.5400 68.4134 3.5273 61.4575 75.3694
155 42.0000 78.1918 3.8191 70.6604 85.7231
156 82.6500 76.6163 3.6658 69.3873 83.8452
157 26.3600 80.5670 4.1108 72.4604 88.6735
158 21.9100 59.9878 4.4853 51.1428 68.8328
159 86.7400 88.5447 5.4585 77.7805 99.3090
160 87.7400 62.9950 4.0455 55.0172 70.9729
161 31.3100 60.6678 4.3785 52.0334 69.3023
162 61.1100 55.1044 5.3480 44.5580 65.6508
163 73.2800 58.2910 4.7676 48.8893 67.6927
164 30.7100 68.6269 3.5160 61.6933 75.5605
165 151.2500 59.7544 4.5228 50.8354 68.6734
166 104.4000 55.0221 5.3637 44.4447 65.5995
167 276.3100 94.3767 6.6500 81.2627 107.4907
168 56.5400 71.1305 3.4419 64.3430 77.9179
plot of v3 by square of v1 with best fitting line 107
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
127 -32.7594 159.7764 -13.0485
128 -29.4435 162.9875 17.9280
129 -24.0527 168.3222 18.3453
130 -22.1410 170.2489 36.1560
131 -33.0827 159.4660 -4.9817
132 -35.7214 156.9518 24.5848
133 -31.2844 161.1983 -35.9869
134 -33.5302 159.0374 -29.3636
135 -6.1106 187.1666 -36.7380
136 -12.0797 180.7035 13.0581
137 -33.8038 158.7757 -27.2159
138 -18.9170 173.5407 66.4982
139 -47.0204 146.5404 -11.9900
140 -33.4279 159.1353 -27.3837
141 -35.9775 156.7095 7.5140
142 -16.9839 175.5405 30.9917
143 -24.1931 168.1814 -10.5342
144 13.2016 209.5157 -26.8286
145 -8.9812 184.0335 -34.0162
146 -27.1993 165.1909 49.4042
147 -14.7139 177.9142 -2.7601
148 -18.6600 173.8054 -13.2027
149 -28.8189 163.5983 -23.9097
150 -47.0925 146.4757 28.5184
151 -5.0005 188.3907 -28.2351
152 -31.7999 160.7002 46.2198
153 -26.5937 165.7898 -12.3880
154 -27.7858 164.6127 13.1266
155 -18.0508 174.4343 -36.1918
156 -19.6031 172.8356 6.0337
157 -15.7223 176.8563 -54.2070
158 -36.3664 156.3421 -38.0778
159 -8.0046 185.0941 -1.8047
160 -33.2835 159.2736 24.7450
161 -35.6673 157.0030 -29.3578
162 -41.4209 151.6297 6.0056
163 -38.1159 154.6980 14.9890
164 -27.5707 164.8245 -37.9169
165 -36.6067 156.1155 91.4956
166 -41.5066 151.5508 49.3779
167 -2.4628 191.2162 181.9333
168 -25.0567 167.3177 -14.5905
plot of v3 by square of v1 with best fitting line 108
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Dep Var Predicted Std Error
Obs v3 Value Mean Predict 95% CL Mean
169 49.4300 63.0224 4.0420 55.0516 70.9933
170 99.4300 75.1010 3.5531 68.0941 82.1078
171 17.1700 80.2918 4.0737 72.2585 88.3252
172 169.0500 81.0678 4.1804 72.8239 89.3116
173 51.4800 91.8482 6.1196 79.7803 103.9161
174 47.7500 70.0378 3.4606 63.2134 76.8621
175 31.8500 87.7045 5.2976 77.2576 98.1514
176 44.1500 79.3010 3.9470 71.5175 87.0845
177 70.4500 92.0079 6.1525 79.8750 104.1407
178 127.2800 83.4392 4.5422 74.4820 92.3964
179 58.2000 64.1890 3.8973 56.5035 71.8744
180 181.5500 76.1501 3.6273 68.9970 83.3033
181 42.7900 86.4987 5.0729 76.4949 96.5025
182 46.7900 82.6913 4.4227 73.9696 91.4130
183 127.5300 84.3238 4.6891 75.0769 93.5707
184 180.0300 86.8035 5.1289 76.6891 96.9178
185 21.6000 73.7398 3.4839 66.8695 80.6101
186 35.9700 60.5408 4.3981 51.8676 69.2140
187 22.8600 45.7008 7.2993 31.3065 60.0950
188 75.3300 85.7768 4.9422 76.0307 95.5229
189 27.5100 49.0791 6.5689 36.1252 62.0330
190 68.7100 70.6434 3.4476 63.8447 77.4421
191 107.1800 47.6148 6.8823 34.0427 61.1868
192 3.0400 67.1459 3.6102 60.0265 74.2652
193 100.4000 55.1555 5.3383 44.6282 65.6827
194 176.2400 57.5664 4.8943 47.9147 67.2180
195 277.8600 81.6640 4.2665 73.2503 90.0777
196 40.3600 88.5634 5.4621 77.7920 99.3347
197 23.0200 42.7222 7.9615 27.0219 58.4224
198 77.5400 50.7529 6.2174 38.4920 63.0137
199 72.0600 57.6698 4.8760 48.0543 67.2854
200 75.3000 74.2035 3.5040 67.2937 81.1134
Output Statistics
Obs 95% CL Predict Residual
169 -33.2555 159.3004 -13.5924
170 -21.1020 171.3039 24.3290
171 -15.9913 176.5749 -63.1218
172 -15.2332 177.3687 87.9822
plot of v3 by square of v1 with best fitting line 109
The REG Procedure
Model: MODEL1
Dependent Variable: v3
Output Statistics
Obs 95% CL Predict Residual
173 -4.8552 188.5516 -40.3682
174 -26.1521 166.2276 -22.2878
175 -8.8100 184.2190 -55.8545
176 -16.9617 175.5636 -35.1510
177 -4.7036 188.7194 -21.5579
178 -12.9254 179.8038 43.8408
179 -32.0658 160.4437 -5.9890
180 -20.0636 172.3638 105.3999
181 -9.9688 182.9662 -43.7087
182 -13.6517 179.0343 -35.9013
183 -12.0682 180.7158 43.2062
184 -9.6756 183.2825 93.2265
185 -22.4533 169.9329 -52.1398
186 -35.7979 156.8794 -24.5708
187 -51.3204 142.7219 -22.8408
188 -10.6644 182.2179 -10.4468
189 -47.7389 145.8970 -21.5691
190 -25.5446 166.8314 -1.9334
191 -49.2878 144.5173 59.5652
192 -29.0653 163.3570 -64.1059
193 -41.3678 151.6787 45.2445
194 -38.8653 153.9980 118.6736
195 -14.6516 177.9796 196.1960
196 -7.9868 185.1135 -48.2034
197 -54.5013 139.9457 -19.7022
198 -45.9748 147.4805 26.7871
199 -38.7582 154.0979 14.3902
200 -21.9924 170.3994 1.0965
Sum of Residuals 0
Sum of Squared Residuals 468717
Predicted Residual SS (PRESS) 480279
