The SAS System 1

17:07 Tuesday, November 4, 2003

 

hs

Obs sn income GPA SAT cGPA coyrs evaluation tcoyrs

 

1 1 48640 1.70 1196 2.90 27.8 82.44 5.27257

2 2 40624 2.42 1243 3.06 7.3 66.09 2.70185

3 3 34898 3.24 1187 3.48 1.7 68.32 1.30384

4 4 39069 3.10 1070 2.99 10.3 67.25 3.20936

5 5 36800 2.29 1120 3.10 9.2 64.55 3.03315

6 6 43389 2.18 1148 3.12 14.4 80.25 3.79473

7 7 43423 2.42 1115 3.07 17.4 73.73 4.17133

8 8 38594 3.25 1148 3.28 11.3 54.68 3.36155

9 9 37549 2.40 1026 3.26 8.3 79.29 2.88097

10 10 39564 2.91 1078 3.40 14.1 64.83 3.75500

11 11 42738 2.21 1317 3.13 12.6 67.25 3.54965

12 12 36049 3.75 1038 3.32 9.4 53.42 3.06594

13 13 34933 2.95 1002 3.12 3.8 77.50 1.94936

14 14 38913 1.96 1054 2.84 15.2 62.84 3.89872

15 15 36021 2.06 1146 2.71 1.6 76.46 1.26491

16 16 41591 1.68 1244 2.89 4.8 78.69 2.19089

17 17 34726 2.77 967 3.40 7.7 67.09 2.77489

18 18 38861 2.27 1189 3.04 13.0 55.19 3.60555

19 19 28477 2.92 835 3.14 2.0 69.53 1.41421

20 20 38804 2.07 1139 2.57 8.2 67.37 2.86356

21 21 40013 3.30 949 3.22 10.0 80.48 3.16228

22 22 36933 1.80 1026 2.81 6.2 76.52 2.48998

23 23 40201 3.01 1364 3.32 8.8 48.09 2.96648

24 24 37044 2.58 1203 3.02 9.5 51.10 3.08221

25 25 31470 1.72 846 2.94 3.7 65.84 1.92354

26 26 44923 3.12 1078 3.61 23.8 77.52 4.87852

27 27 43957 2.86 1192 2.93 14.4 79.75 3.79473

28 28 36681 3.36 943 3.40 6.7 67.12 2.58844

29 29 39461 2.68 1266 3.23 9.7 66.27 3.11448

30 30 46532 2.25 1036 2.74 37.0 66.96 6.08276

31 31 42243 1.87 1056 2.91 12.7 83.48 3.56371

32 32 38264 2.16 1204 3.17 6.7 63.18 2.58844

33 33 40234 2.03 1143 2.92 13.0 68.77 3.60555

34 34 47567 2.43 1253 3.28 15.6 85.64 3.94968

35 35 38956 2.16 962 2.86 14.5 76.66 3.80789

36 36 42061 2.57 1136 2.99 11.5 75.97 3.39116

37 37 43943 1.94 1105 2.96 20.3 77.31 4.50555

38 38 35736 2.27 989 3.20 4.9 76.05 2.21359

39 39 41491 1.08 1257 2.82 10.0 69.37 3.16228

40 40 40821 1.85 1198 2.79 4.5 84.55 2.12132

41 41 45078 1.88 1185 2.90 15.3 73.12 3.91152

42 42 48144 2.24 1318 3.12 19.5 69.88 4.41588

43 43 43792 2.42 1281 3.00 16.7 61.63 4.08656

44 44 42696 1.92 1056 2.85 11.7 81.12 3.42053

45 45 38037 2.71 999 3.47 7.9 77.60 2.81069

46 46 35978 2.22 1069 2.92 3.5 76.12 1.87083

47 47 36366 2.13 855 2.75 18.5 66.26 4.30116

48 48 44142 2.03 1075 2.83 25.6 66.93 5.05964

49 49 34816 0.46 1067 2.32 3.1 72.21 1.76068

50 50 39879 3.74 1048 3.97 15.5 72.58 3.93700

51 51 36287 2.58 935 3.28 11.8 56.08 3.43511

52 52 46177 2.94 1032 3.46 30.0 73.59 5.47723

53 53 35214 2.05 1121 2.82 2.8 67.97 1.67332

54 54 28198 2.40 907 3.24 1.8 58.04 1.34164

55 55 31356 2.21 1069 3.28 3.6 59.26 1.89737

56 56 35622 2.07 1057 2.83 5.2 70.93 2.28035

57 57 41313 2.02 1151 2.79 16.5 67.62 4.06202

58 58 36101 2.68 975 3.16 10.0 64.78 3.16228

59 59 37343 2.70 1144 3.19 6.7 69.55 2.58844

60 60 39032 2.73 1128 3.17 9.1 70.74 3.01662

61 61 48542 2.84 1163 3.26 33.5 68.48 5.78792

62 62 36906 2.14 1179 3.16 3.0 71.98 1.73205

63 63 40445 2.37 1084 3.06 13.1 72.22 3.61939

64 64 39434 3.34 1120 3.40 12.7 64.72 3.56371

65 65 39208 3.54 967 3.36 14.9 77.65 3.86005

66 66 41522 2.57 1161 3.35 15.4 61.10 3.92428

67 67 40124 2.99 1176 3.42 8.3 68.24 2.88097

68 68 42416 2.98 1197 3.38 8.6 78.39 2.93258

69 69 30772 2.98 977 3.42 0.3 72.54 0.54772

70 70 42868 2.02 1137 2.94 18.1 62.55 4.25441

71 71 42662 1.77 1185 3.08 16.9 63.17 4.11096

The SAS System 2

17:07 Tuesday, November 4, 2003

 

hs

Obs sn income GPA SAT cGPA coyrs evaluation tcoyrs

 

72 72 41525 2.26 1080 2.65 9.2 85.00 3.03315

73 73 42154 2.54 1119 3.14 19.1 67.88 4.37035

74 74 39215 2.55 1036 2.95 17.4 68.76 4.17133

75 75 45773 2.63 1166 2.97 26.3 73.97 5.12835

76 76 43388 2.03 1238 2.71 20.9 53.62 4.57165

77 77 40282 2.38 1102 2.85 11.3 71.31 3.36155

78 78 44462 2.91 1117 3.16 22.5 73.20 4.74342

79 79 33693 2.60 908 2.99 5.8 63.70 2.40832

80 80 38791 2.26 1154 3.24 7.6 74.06 2.75681

81 81 44734 2.78 1064 3.12 23.2 76.21 4.81664

82 82 42003 1.96 1076 2.91 22.1 66.03 4.70106

83 83 44269 2.34 1169 2.92 19.1 68.06 4.37035

84 84 42236 2.36 1034 3.03 14.7 78.62 3.83406

85 85 48139 2.08 1276 2.97 22.6 74.60 4.75395

86 86 45789 3.44 1207 3.45 17.1 76.29 4.13521

87 87 37160 3.55 1088 3.36 6.8 69.25 2.60768

88 88 45106 3.16 1155 3.44 22.4 77.50 4.73286

89 89 39023 1.38 1199 2.71 9.2 57.23 3.03315

90 90 37390 2.21 999 2.91 14.1 60.42 3.75500

91 91 46177 2.99 1176 3.34 15.3 85.33 3.91152

92 92 41086 2.69 1129 3.11 14.1 66.71 3.75500

93 93 43262 3.46 1156 3.51 22.4 59.65 4.73286

94 94 38619 2.84 1152 3.30 9.6 70.62 3.09839

95 95 37428 3.13 1114 3.42 9.6 54.56 3.09839

96 96 47050 2.26 1247 3.02 16.1 81.74 4.01248

97 97 41497 2.38 1166 2.83 9.7 74.91 3.11448

98 98 38878 2.23 1249 2.80 3.5 78.06 1.87083

99 99 46391 3.33 1111 3.31 28.8 71.01 5.36656

100 100 40754 2.24 1072 3.13 9.9 80.08 3.14643

101 101 37417 2.69 1164 2.90 6.8 65.45 2.60768

102 102 40191 2.17 1122 3.02 11.2 74.09 3.34664

103 103 36183 2.61 1099 3.37 6.4 65.13 2.52982

104 104 42131 1.72 1053 2.97 26.3 59.95 5.12835

105 105 43130 2.17 1070 3.01 21.8 70.72 4.66905

106 106 42167 2.64 867 2.99 20.9 83.68 4.57165

107 107 41733 3.16 1213 3.29 13.0 64.15 3.60555

108 108 40179 2.55 907 3.23 26.2 68.71 5.11859

109 110 40062 2.55 1079 3.29 10.4 80.68 3.22490

110 111 47664 2.60 1267 3.08 17.7 91.28 4.20714

111 112 40127 2.78 1024 3.25 12.5 78.31 3.53553

112 113 41683 1.61 1162 2.67 16.3 67.65 4.03733

113 114 33181 3.05 1110 3.41 3.7 62.78 1.92354

114 115 43244 1.52 1172 2.58 18.0 70.65 4.24264

115 116 32370 1.93 980 3.03 3.0 66.82 1.73205

116 117 44515 2.68 1095 2.98 22.3 82.34 4.72229

117 118 34931 2.23 1063 3.04 5.7 60.36 2.38747

118 119 40011 3.03 1041 3.15 16.4 66.38 4.04969

119 120 45250 2.12 1237 2.97 20.2 68.98 4.49444

120 121 41903 2.55 959 3.09 26.7 71.13 5.16720

121 122 38320 2.39 1091 3.14 8.2 68.26 2.86356

122 123 42932 2.64 1083 3.29 18.2 74.77 4.26615

123 124 37456 2.50 925 3.34 13.5 68.02 3.67423

124 125 43057 2.64 1100 3.19 12.4 80.01 3.52136

125 126 41194 3.64 1196 3.37 5.9 77.33 2.42899

126 127 37850 1.88 991 2.91 9.9 64.01 3.14643

127 128 38961 1.25 979 2.83 8.5 72.32 2.91548

128 129 41686 1.98 1202 2.81 9.7 77.69 3.11448

129 130 39894 3.32 1028 3.32 16.1 72.88 4.01248

130 131 42017 2.75 1026 3.27 26.3 67.22 5.12835

131 132 43604 2.43 1201 3.12 22.8 54.48 4.77493

132 133 41151 2.63 1120 3.11 18.8 64.03 4.33590

133 134 42929 2.54 988 3.07 21.6 67.67 4.64758

134 135 39742 2.82 1049 3.33 16.6 62.97 4.07431

135 136 38811 2.47 969 3.06 10.4 80.68 3.22490

136 137 42379 2.74 1210 3.19 12.9 74.77 3.59166

137 138 37305 2.11 904 2.96 17.3 55.88 4.15933

138 139 36304 3.29 1054 3.54 6.5 68.27 2.54951

139 140 41014 1.02 1168 2.64 9.5 70.44 3.08221

140 141 34858 2.35 1023 2.88 4.2 64.27 2.04939

141 142 40557 2.02 1167 3.16 17.6 53.35 4.19524

142 143 41138 2.02 1072 2.78 12.5 84.05 3.53553

The SAS System 3

17:07 Tuesday, November 4, 2003

 

hs

Obs sn income GPA SAT cGPA coyrs evaluation tcoyrs

 

143 144 30330 3.40 1102 3.50 1.1 57.60 1.04881

144 145 35994 1.05 1014 2.65 10.6 54.14 3.25576

145 146 34642 2.12 965 2.85 3.5 68.04 1.87083

146 147 37012 2.94 1090 3.40 13.3 50.83 3.64692

147 148 42258 2.64 1132 3.18 13.7 76.81 3.70135

148 149 34077 2.53 961 3.09 3.6 69.84 1.89737

149 150 35649 2.94 1218 3.23 3.3 63.94 1.81659

150 151 41145 2.40 1026 3.21 16.5 76.29 4.06202

151 152 33188 2.95 1061 3.18 0.9 74.75 0.94868

152 153 37999 1.98 1157 2.85 6.7 68.56 2.58844

153 154 34255 3.48 957 3.50 13.7 49.58 3.70135

154 155 35193 3.30 1028 3.56 8.9 60.71 2.98329

155 156 38148 2.39 1059 3.10 15.1 62.21 3.88587

156 157 38384 2.41 1173 3.02 8.8 59.59 2.96648

157 158 42202 3.10 1165 3.37 11.7 72.37 3.42053

158 159 40867 2.51 1118 3.13 20.4 55.16 4.51664

159 160 42918 3.28 1055 3.22 16.3 72.07 4.03733

160 161 39402 2.32 1002 3.09 15.8 62.91 3.97492

161 162 42609 3.36 1193 3.33 9.6 74.94 3.09839

162 163 37356 2.56 1247 3.13 2.9 71.54 1.70294

163 164 40276 3.34 1136 3.26 9.5 70.37 3.08221

164 165 41032 1.69 1330 2.89 5.8 77.67 2.40832

165 166 38647 2.26 918 3.17 11.8 75.66 3.43511

166 167 42340 2.24 1107 3.18 11.0 74.45 3.31662

167 168 43785 1.65 1168 2.63 12.0 74.22 3.46410

168 169 41218 2.27 1019 2.64 20.8 64.07 4.56070

169 170 47834 2.93 978 3.14 33.9 84.74 5.82237

170 171 34350 3.11 938 3.37 6.1 65.62 2.46982

171 172 37293 1.44 1035 2.49 6.1 71.22 2.46982

172 173 37461 1.95 1037 2.81 5.6 75.19 2.36643

173 174 51341 3.11 1177 3.56 40.7 78.96 6.37966

174 175 36055 3.48 1051 3.42 5.0 79.71 2.23607

175 176 35499 2.21 913 2.82 10.6 73.10 3.25576

176 177 40852 3.12 1140 3.35 14.8 69.07 3.84708

177 178 44598 2.30 1176 3.04 19.3 69.34 4.39318

178 179 45455 2.20 1067 2.89 14.8 99.06 3.84708

179 180 34753 2.78 886 2.99 9.0 74.00 3.00000

180 181 38512 2.66 1356 3.13 5.1 61.20 2.25832

181 182 35697 3.45 954 3.34 5.8 73.45 2.40832

182 183 44784 3.26 1267 3.48 11.7 69.48 3.42053

183 184 42151 2.06 1061 3.08 16.7 73.18 4.08656

184 185 41244 3.80 1013 3.70 15.0 73.16 3.87298

185 186 41451 2.30 1013 3.10 22.6 63.00 4.75395

186 187 44168 1.81 1141 2.81 16.5 74.44 4.06202

187 188 37125 1.45 1022 2.58 12.0 65.60 3.46410

188 189 38917 2.96 1146 3.27 5.5 71.83 2.34521

189 190 44552 2.69 1117 3.29 22.4 74.26 4.73286

190 191 40673 2.67 1279 2.96 9.0 70.03 3.00000

191 192 40842 2.43 993 3.15 17.1 75.49 4.13521

192 193 39442 2.64 906 3.23 17.0 64.14 4.12311

193 194 39445 2.46 1263 2.86 7.6 55.88 2.75681

194 195 41298 2.59 1086 3.27 22.0 57.84 4.69042

195 196 37725 1.06 1014 2.34 17.0 53.71 4.12311

196 197 37356 1.48 1047 2.46 6.6 69.79 2.56905

197 198 41817 2.76 994 3.09 26.4 68.81 5.13809

198 199 39697 2.95 1179 2.86 3.8 79.44 1.94936

199 200 41826 3.67 1324 3.53 7.7 79.81 2.77489

Scatterplots for All Variables by Income 4

17:07 Tuesday, November 4, 2003

 

Plot of income*hsGPA. Legend: A = 1 obs, B = 2 obs, etc.

 

income

52000

A

50000

A

A

48000 A A A

A A

A

A A

46000 AA

A A A

A A A

A A A

AA B A

44000 A AA A

A C

A A AA A A

A AA A AA AA

A A A AA AA

42000 A A A CA B A

A AA A BA A A

A A B A A AAA A A

A A BA A A

B B A A

40000 A B A B B A

A A AAA B A

A A A A A

A A AAAC A AA

A AA A A

38000 A A A A

A A AA A A

BA AA B A A A

A A A A

A A A

36000 A A A AA A A

A AA A A

A A

A AA A B A A

A A

34000 A

A

A A

A

32000

A

A

A

A

30000

A

28000 A

0 1 2 3 4

 

hsGPA

Scatterplots for All Variables by Income 5

17:07 Tuesday, November 4, 2003

 

Plot of income*SAT. Legend: A = 1 obs, B = 2 obs, etc.

 

income

52000

A

50000

A

A

48000 A A A

AA

A

A A

46000 A A

A A A

A A A

A A A

A B B

44000 A A A A

A A A A

A A AA A A

A B A A AA A

A A A A A AA

42000 A A A A AAA A A A

A A C AA AA

AAA AA AA AA A A

A A A A A A A

A A AA A A

40000 A A B B A A A

A A A A A A B

A A A A A

A AAA A AAB A A

A A A A A

38000 AA A A

A AAA A A

A A A AA B A A A

A A A A

A A A

36000 A A A A A A A

A A A A A

A A

A B A A B A

A A

34000 A

A

A A

A

32000

A

A

A

A

30000

A

28000 A

800 900 1000 1100 1200 1300 1400

 

SAT

Scatterplots for All Variables by Income 6

17:07 Tuesday, November 4, 2003

 

Plot of income*cGPA. Legend: A = 1 obs, B = 2 obs, etc.

 

income

52000

A

50000

A

A

48000 A AA

A A

A

A A

46000 A A

A A A

A A A

A A A

AA A A A

44000 B AA

A A AA

A A A A A A

A A B A A AA

A A C AA

42000 A AB ABA A A

AA C A A A A

B B A B A A A A

A A A C A

A A A A A A

40000 A A BAAA A A

B A B A B

A AA A A

A AAB AA A AB

A BA A

38000 AA A A

A A A A A A

AA A A A A AA AA

A AA A

A A A

36000 A A A A AA A

B B A

A A

A AA AA A A A

A A

34000 A

A

A A

A

32000

A

A

A

A

30000

A

28000 A

2.0 2.5 3.0 3.5 4.0

 

cGPA

Scatterplots for All Variables by Income 7

17:07 Tuesday, November 4, 2003

 

Plot of income*coyrs. Legend: A = 1 obs, B = 2 obs, etc.

 

income

52000

A

50000

A

A

48000 A A A

A A

A

A A

46000 A A

A A A

A A A

A AA

B C

44000 A A A A

A AA A

A A A AAA

A AA AA B A

A AA BAA

42000 A A A A A A CA

A AC A AA A

B A A A AB A A A

A A AA A A A

AA A B A

40000 A AAAA AB A

A A A AA AB

BA A A

A A ABA AA A AA

A A B A

38000 AA A A

A A AA A A

A AC A AAA A

A AA A

A A A

36000 A A AA AAA

A AAA A

A A

A AC A A A

A A

34000 A

A

A A

A

32000

A

A

A

A

30000

A

28000 A

0 10 20 30 40 50

 

coyrs

Scatterplots for All Variables by Income 8

17:07 Tuesday, November 4, 2003

 

Plot of income*tcoyrs. Legend: A = 1 obs, B = 2 obs, etc.

 

income

52000

A

50000

A

A

48000 A A A

A A

A

A A

46000 A A

A A A

A A A

A AA

AA C

44000 A A A A

A AA A

A A A AAA

A AA AAB A

A AABA A

42000 A A A A AA CA

A AC A AA A

B A A AA B A AA

A A AA A A A

AA A AA A

40000 A AAA A AB A

A A A A A AB

B A A A

A A AB AA AA AA

A A AA A

38000 A A A A

A A A A A A

A AC A A AA A

A AA A

A A A

36000 A A A A BA

A AAA A

A A

A AAB A A A

A A

34000 A

A

A A

A

32000

A

A

A

A

30000

A

28000 A

0 1 2 3 4 5 6 7

 

tcoyrs

Scatterplots for All Variables by Income 9

17:07 Tuesday, November 4, 2003

 

Plot of income*evaluation. Legend: A = 1 obs, B = 2 obs, etc.

 

income

52000

A

50000

A

A

48000 A A A

A A

A

A A

46000 A A

A A A

A A A

A AA

AA AA A

44000 A A A A

A A AA

A A B B

B B A B A

A B A B A

42000 A AAAA A A A A A

A A A A A A A A A

A B AA A A AB A

A A AA A A A

A A AAAA

40000 A AA BA A B

A B C A A

A A A A A

A A A AAAA AA A A

A AA A A

38000 A A A A

AA A A A A

B A A A ABAA

A A A A

A A A

36000 AA AA B A

A A AA A

A A

A A AB A A A

A A

34000 A

A

A A

A

32000

A

A

A

A

30000

A

28000 A

40 50 60 70 80 90 100

 

evaluation

Correlations for All Variables 10

17:07 Tuesday, November 4, 2003

 

The CORR Procedure

 

7 Variables: income hsGPA SAT cGPA coyrs

tcoyrs evaluation

 

 

Simple Statistics

 

Variable N Mean Std Dev Sum

 

income 199 40027 3960 7965308

hsGPA 199 2.49704 0.58565 496.91000

SAT 199 1097 106.45612 218249

cGPA 199 3.09432 0.26251 615.77000

coyrs 199 12.96080 7.39531 2579

tcoyrs 199 3.44174 1.05870 684.90664

evaluation 199 69.89101 8.39628 13908

 

Simple Statistics

 

Variable Minimum Maximum

 

income 28198 51341

hsGPA 0.46000 3.80000

SAT 835.00000 1364

cGPA 2.32000 3.97000

coyrs 0.30000 40.70000

tcoyrs 0.54772 6.37966

evaluation 48.09000 99.06000

 

 

Pearson Correlation Coefficients, N = 199

Prob > |r| under H0: Rho=0

 

income hsGPA SAT cGPA

 

income 1.00000 -0.01281 0.47048 -0.01196

0.8575 <.0001 0.8668

 

hsGPA -0.01281 1.00000 -0.03004 0.83016

0.8575 0.6736 <.0001

 

SAT 0.47048 -0.03004 1.00000 -0.01363

<.0001 0.6736 0.8485

 

cGPA -0.01196 0.83016 -0.01363 1.00000

0.8668 <.0001 0.8485

 

coyrs 0.76087 0.02945 -0.00473 0.04728

<.0001 0.6797 0.9472 0.5072

 

Pearson Correlation Coefficients, N = 199

Prob > |r| under H0: Rho=0

 

coyrs tcoyrs evaluation

 

income 0.76087 0.78503 0.38564

<.0001 <.0001 <.0001

 

hsGPA 0.02945 0.01445 0.00759

0.6797 0.8394 0.9152

 

SAT -0.00473 0.01655 0.01771

0.9472 0.8165 0.8040

 

cGPA 0.04728 0.03305 -0.03989

0.5072 0.6431 0.5759

 

coyrs 1.00000 0.97883 0.03699

<.0001 0.6040

Correlations for All Variables 11

17:07 Tuesday, November 4, 2003

 

The CORR Procedure

 

Pearson Correlation Coefficients, N = 199

Prob > |r| under H0: Rho=0

 

income hsGPA SAT cGPA

 

tcoyrs 0.78503 0.01445 0.01655 0.03305

<.0001 0.8394 0.8165 0.6431

 

evaluation 0.38564 0.00759 0.01771 -0.03989

<.0001 0.9152 0.8040 0.5759

 

Pearson Correlation Coefficients, N = 199

Prob > |r| under H0: Rho=0

 

coyrs tcoyrs evaluation

 

tcoyrs 0.97883 1.00000 0.02799

<.0001 0.6948

 

evaluation 0.03699 0.02799 1.00000

0.6040 0.6948

Regression of Income by CoYrs 12

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Analysis of Variance

 

Sum of Mean

Source DF Squares Square F Value Pr > F

 

Model 1 1913818429 1913818429 316.39 <.0001

Error 197 1191628685 6048877

Corrected Total 198 3105447114

 

 

Root MSE 2459.44640 R-Square 0.6163

Dependent Mean 40027 Adj R-Sq 0.6143

Coeff Var 6.14452

 

 

Parameter Estimates

 

Parameter Standard

Variable DF Estimate Error t Value Pr > |t|

 

Intercept 1 29920 594.35675 50.34 <.0001

tcoyrs 1 2936.59619 165.09398 17.79 <.0001

Chrissy Regression by CoYrs and SAT 13

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Analysis of Variance

 

Sum of Mean

Source DF Squares Square F Value Pr > F

 

Model 2 2563964541 1281982271 464.04 <.0001

Error 196 541482572 2762666

Corrected Total 198 3105447114

 

 

Root MSE 1662.12701 R-Square 0.8256

Dependent Mean 40027 Adj R-Sq 0.8239

Coeff Var 4.15255

 

 

Parameter Estimates

 

Parameter Standard

Variable DF Estimate Error t Value Pr > |t|

 

Intercept 1 11346 1275.61716 8.89 <.0001

tcoyrs 1 2908.26775 111.58801 26.06 <.0001

SAT 1 17.02400 1.10974 15.34 <.0001

Chrissy Regression by CoYrs, SAT, and Evaluation 14

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Analysis of Variance

 

Sum of Mean

Source DF Squares Square F Value Pr > F

 

Model 3 2957482362 985827454 1299.20 <.0001

Error 195 147964752 758794

Corrected Total 198 3105447114

 

 

Root MSE 871.08760 R-Square 0.9524

Dependent Mean 40027 Adj R-Sq 0.9516

Coeff Var 2.17627

 

 

Parameter Estimates

 

Parameter Standard

Variable DF Estimate Error t Value Pr > |t|

 

Intercept 1 -17.26913 834.22238 -0.02 0.9835

tcoyrs 1 2871.36184 58.50350 49.08 <.0001

SAT 1 16.79548 0.58168 28.87 <.0001

evaluation 1 167.99551 7.37696 22.77 <.0001

Chrissy Regression by CoYrs, SAT, Evaluation, and hsGPA 15

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Analysis of Variance

 

Sum of Mean

Source DF Squares Square F Value Pr > F

 

Model 4 2958011250 739502812 973.06 <.0001

Error 194 147435864 759979

Corrected Total 198 3105447114

 

 

Root MSE 871.76756 R-Square 0.9525

Dependent Mean 40027 Adj R-Sq 0.9515

Coeff Var 2.17797

 

 

Parameter Estimates

 

Parameter Standard

Variable DF Estimate Error t Value Pr > |t|

 

Intercept 1 213.62899 879.55823 0.24 0.8084

tcoyrs 1 2872.08195 58.55553 49.05 <.0001

SAT 1 16.78070 0.58240 28.81 <.0001

evaluation 1 168.04305 7.38294 22.76 <.0001

hsGPA 1 -88.30100 105.84847 -0.83 0.4052

Chrissy Regression by All Variables 16

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Analysis of Variance

 

Sum of Mean

Source DF Squares Square F Value Pr > F

 

Model 5 2958391034 591678207 776.53 <.0001

Error 193 147056079 761949

Corrected Total 198 3105447114

 

 

Root MSE 872.89667 R-Square 0.9526

Dependent Mean 40027 Adj R-Sq 0.9514

Coeff Var 2.18079

 

 

Parameter Estimates

 

Parameter Standard Standardized

Variable DF Estimate Error t Value Pr > |t| Estimate

 

Intercept 1 879.92881 1290.86015 0.68 0.4963 0

tcoyrs 1 2873.73397 58.67805 48.97 <.0001 0.76823

SAT 1 16.78944 0.58329 28.78 <.0001 0.45131

evaluation 1 167.60113 7.41895 22.59 <.0001 0.35533

hsGPA 1 23.60276 190.67325 0.12 0.9016 0.00349

cGPA 1 -300.58660 425.75885 -0.71 0.4810 -0.01992

 

Parameter Estimates

 

Squared Squared

Semi-partial Partial

Variable DF Corr Type I Corr Type I

 

Intercept 1 . .

tcoyrs 1 0.61628 0.61628

SAT 1 0.20936 0.54559

evaluation 1 0.12672 0.72674

hsGPA 1 0.00017031 0.00357

cGPA 1 0.00012230 0.00258

Chrissy Regression by All Variables 17

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Dep Var Predicted Std Error Std Error Student

Obs income Value Mean Predict Residual Residual Residual

 

1 48640 49098 188.9551 -457.5219 852.2 -0.537

2 40624 39728 118.1052 896.3163 864.9 1.036

3 34898 35037 178.3221 -138.8227 854.5 -0.162

4 39069 38513 168.7891 555.9317 856.4 0.649

5 36800 38341 87.2795 -1541 868.5 -1.775

6 43389 43623 127.8249 -233.8714 863.5 -0.271

7 43423 43079 81.0293 344.0043 869.1 0.396

8 38594 38070 163.3155 524.3896 857.5 0.612

9 37549 38751 143.4823 -1202 861.0 -1.396

10 39564 39682 106.4288 -118.0749 866.4 -0.136

11 42738 43575 156.9844 -836.8638 858.7 -0.975

12 36049 35162 223.7367 887.1182 843.7 1.051

13 34933 35426 150.9725 -492.7696 859.7 -0.573

14 38913 39505 109.7891 -591.5241 866.0 -0.683

15 36021 35804 181.6489 216.5434 853.8 0.254

16 41591 40422 174.4962 1169 855.3 1.367

17 34726 35377 140.9060 -651.3481 861.4 -0.756

18 38861 39594 139.0805 -732.6667 861.7 -0.850

19 28477 29742 209.6945 -1265 847.3 -1.492

20 38804 38800 179.7016 4.1417 854.2 0.00485

21 40013 38499 169.7683 1514 856.2 1.768

22 36933 37284 129.5356 -351.1068 863.2 -0.407

23 40201 39439 243.5114 762.3706 838.2 0.909

24 37044 37653 176.0120 -608.6065 855.0 -0.712

25 31470 30803 210.5962 666.7388 847.1 0.787

26 44923 44979 181.9478 -56.4863 853.7 -0.0662

27 43957 44351 170.7211 -393.9674 856.0 -0.460

28 36681 34458 150.2325 2223 859.9 2.586

29 39461 41285 126.2105 -1824 863.7 -2.112

30 46532 46206 211.8349 325.9019 846.8 0.385

31 42243 42011 141.7495 231.5098 861.3 0.269

32 38264 38220 143.4690 43.9505 861.0 0.0510

33 40234 41128 84.2708 -893.7816 868.8 -1.029

34 47567 46692 187.7482 874.7747 852.5 1.026

35 38956 40014 127.6820 -1058 863.5 -1.225

36 42061 41593 95.8228 468.4010 867.6 0.540

37 43943 44493 123.5660 -550.3120 864.1 -0.637

38 35736 35684 154.0472 52.2690 859.2 0.0608

39 41491 41876 214.0001 -385.1238 846.3 -0.455

40 40821 40465 173.5338 355.5106 855.5 0.416

41 45078 43444 109.7824 1634 866.0 1.887

42 48144 46525 162.0149 1619 857.7 1.887

43 43792 43616 148.7776 176.4892 860.1 0.205

44 42696 41224 123.6463 1472 864.1 1.704

45 38037 37757 173.6855 280.4609 855.4 0.328

46 35978 36137 127.4298 -158.5849 863.5 -0.184

47 36366 37924 192.5447 -1558 851.4 -1.830

48 44142 43883 134.7110 258.5570 862.4 0.300

49 34816 35270 245.8759 -453.9635 837.6 -0.542

50 39879 40849 232.7477 -969.5969 841.3 -1.153

51 36287 34924 162.3653 1363 857.7 1.590

52 46177 45310 170.8456 867.1527 856.0 1.013

53 35214 35102 137.4032 111.8547 862.0 0.130

54 28198 28774 208.8413 -575.7831 847.5 -0.679

55 31356 33279 183.4826 -1923 853.4 -2.253

56 35622 36266 112.9222 -643.6319 865.6 -0.744

57 41313 42420 110.7047 -1107 865.8 -1.278

58 36101 36308 103.5135 -206.7782 866.7 -0.239

59 37343 38287 88.1244 -944.0362 868.4 -1.087

60 39032 39455 74.2108 -423.0596 869.7 -0.486

61 48542 47603 160.0549 938.5725 858.1 1.094

62 36906 36817 160.4609 89.2854 858.0 0.104

63 40445 40721 67.2777 -276.1467 870.3 -0.317

64 39434 39829 117.0389 -395.2256 865.0 -0.457

65 39208 40296 165.2076 -1088 857.1 -1.269

Chrissy Regression by All Variables 18

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Cook's

Obs -2-1 0 1 2 D

 

1 | *| | 0.002

2 | |** | 0.003

3 | | | 0.000

4 | |* | 0.003

5 | ***| | 0.005

6 | | | 0.000

7 | | | 0.000

8 | |* | 0.002

9 | **| | 0.009

10 | | | 0.000

11 | *| | 0.005

12 | |** | 0.013

13 | *| | 0.002

14 | *| | 0.001

15 | | | 0.000

16 | |** | 0.013

17 | *| | 0.003

18 | *| | 0.003

19 | **| | 0.023

20 | | | 0.000

21 | |*** | 0.020

22 | | | 0.001

23 | |* | 0.012

24 | *| | 0.004

25 | |* | 0.006

26 | | | 0.000

27 | | | 0.001

28 | |***** | 0.034

29 | ****| | 0.016

30 | | | 0.002

31 | | | 0.000

32 | | | 0.000

33 | **| | 0.002

34 | |** | 0.009

35 | **| | 0.005

36 | |* | 0.001

37 | *| | 0.001

38 | | | 0.000

39 | | | 0.002

40 | | | 0.001

41 | |*** | 0.010

42 | |*** | 0.021

43 | | | 0.000

44 | |*** | 0.010

45 | | | 0.001

46 | | | 0.000

47 | ***| | 0.029

48 | | | 0.000

49 | *| | 0.004

50 | **| | 0.017

51 | |*** | 0.015

52 | |** | 0.007

53 | | | 0.000

54 | *| | 0.005

55 | ****| | 0.039

56 | *| | 0.002

57 | **| | 0.004

58 | | | 0.000

59 | **| | 0.002

60 | | | 0.000

61 | |** | 0.007

62 | | | 0.000

63 | | | 0.000

64 | | | 0.001

65 | **| | 0.010

Chrissy Regression by All Variables 19

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Dep Var Predicted Std Error Std Error Student

Obs income Value Mean Predict Residual Residual Residual

 

66 41522 40944 136.2478 578.0647 862.2 0.670

67 40124 39383 117.3004 740.8781 865.0 0.857

68 42416 41597 132.1061 819.0660 862.8 0.949

69 30772 30057 213.4224 714.6657 846.4 0.844

70 42868 41843 110.7572 1025 865.8 1.184

71 42662 42293 163.7175 369.4459 857.4 0.431

72 41525 41232 194.1622 293.1281 851.0 0.344

73 42154 42719 85.4916 -565.4200 868.7 -0.651

74 39215 40959 110.3095 -1744 865.9 -2.014

75 45773 46761 147.6845 -987.7227 860.3 -1.148

76 43388 43023 207.6988 364.9399 847.8 0.430

77 40282 40193 106.1039 88.7790 866.4 0.102

78 44462 44652 116.5332 -190.2808 865.1 -0.220

79 33693 32884 157.5263 808.5887 858.6 0.942

80 38791 39669 137.0216 -878.2590 862.1 -1.019

81 44734 44486 120.8042 247.7062 864.5 0.287

82 42003 42693 117.2935 -690.2272 865.0 -0.798

83 44269 43650 108.9122 618.5314 866.1 0.714

84 42236 41580 100.7781 656.0043 867.1 0.757

85 48139 47624 152.5206 514.7776 859.5 0.599

86 45789 44859 147.4839 930.2533 860.3 1.081

87 37160 37321 146.8085 -160.8154 860.5 -0.187

88 45106 45902 142.1790 -796.3752 861.2 -0.925

89 39023 38537 173.7740 486.2740 855.4 0.568

90 37390 37747 121.5474 -357.3538 864.4 -0.413

91 46177 45233 152.4871 944.0031 859.5 1.098

92 41086 40935 79.1841 150.5962 869.3 0.173

93 43262 42914 165.9229 348.4758 857.0 0.407

94 38619 40036 88.7461 -1417 868.4 -1.632

95 37428 36677 150.5317 750.5105 859.8 0.873

96 47050 46192 142.9433 857.5538 861.1 0.996

97 41497 41167 124.9438 329.8782 863.9 0.382

98 38878 39520 174.9834 -642.1362 855.2 -0.751

99 46391 45940 161.5652 450.9194 857.8 0.526

100 40754 40454 122.0788 300.2686 864.3 0.347

101 37417 38078 150.2808 -660.8998 859.9 -0.769

102 40191 40896 82.0665 -705.0453 869.0 -0.811

103 36183 36566 133.1108 -383.0445 862.7 -0.444

104 42131 42492 175.5188 -361.2699 855.1 -0.423

105 43130 43261 103.9621 -131.4303 866.7 -0.152

106 42167 41763 200.9943 404.4978 849.4 0.476

107 41733 41444 128.1154 288.8209 863.4 0.334

108 40179 41423 168.4572 -1244 856.5 -1.452

109 40062 40857 131.7252 -794.5619 862.9 -0.921

110 47664 48677 199.8181 -1013 849.7 -1.192

111 40127 40446 105.5963 -319.0505 866.5 -0.368

112 41683 42565 131.8399 -882.1064 862.9 -1.022

113 33181 34613 141.7959 -1432 861.3 -1.663

114 43244 43851 151.3756 -606.7530 859.7 -0.706

115 32370 32645 163.2220 -274.9144 857.5 -0.321

116 44515 45803 152.2278 -1288 859.5 -1.498

117 34931 34843 116.9804 87.6981 865.0 0.101

118 40011 40246 118.2762 -234.5005 864.8 -0.271

119 45250 45283 125.3847 -32.7125 863.8 -0.0379

120 41903 42883 144.7985 -980.0128 860.8 -1.138

121 38320 37979 81.1165 340.6512 869.1 0.392

122 42932 42928 107.1749 4.4243 866.3 0.00511

123 37456 37424 158.6468 31.7921 858.4 0.0370

124 43057 41981 101.1043 1076 867.0 1.241

125 41194 39974 180.2391 1220 854.1 1.429

126 37850 36458 120.0247 1392 864.6 1.610

127 38961 36995 189.0433 1966 852.2 2.307

128 41686 42234 123.6522 -548.0433 864.1 -0.634

129 39894 40965 124.2744 -1071 864.0 -1.240

130 42017 43192 131.8778 -1175 862.9 -1.361

Chrissy Regression by All Variables 20

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Cook's

Obs -2-1 0 1 2 D

 

66 | |* | 0.002

67 | |* | 0.002

68 | |* | 0.004

69 | |* | 0.008

70 | |** | 0.004

71 | | | 0.001

72 | | | 0.001

73 | *| | 0.001

74 | ****| | 0.011

75 | **| | 0.006

76 | | | 0.002

77 | | | 0.000

78 | | | 0.000

79 | |* | 0.005

80 | **| | 0.004

81 | | | 0.000

82 | *| | 0.002

83 | |* | 0.001

84 | |* | 0.001

85 | |* | 0.002

86 | |** | 0.006

87 | | | 0.000

88 | *| | 0.004

89 | |* | 0.002

90 | | | 0.001

91 | |** | 0.006

92 | | | 0.000

93 | | | 0.001

94 | ***| | 0.005

95 | |* | 0.004

96 | |* | 0.005

97 | | | 0.001

98 | *| | 0.004

99 | |* | 0.002

100 | | | 0.000

101 | *| | 0.003

102 | *| | 0.001

103 | | | 0.001

104 | | | 0.001

105 | | | 0.000

106 | | | 0.002

107 | | | 0.000

108 | **| | 0.014

109 | *| | 0.003

110 | **| | 0.013

111 | | | 0.000

112 | **| | 0.004

113 | ***| | 0.012

114 | *| | 0.003

115 | | | 0.001

116 | **| | 0.012

117 | | | 0.000

118 | | | 0.000

119 | | | 0.000

120 | **| | 0.006

121 | | | 0.000

122 | | | 0.000

123 | | | 0.000

124 | |** | 0.003

125 | |** | 0.015

126 | |*** | 0.008

127 | |**** | 0.044

128 | *| | 0.001

129 | **| | 0.005

130 | **| | 0.007

Chrissy Regression by All Variables 21

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Dep Var Predicted Std Error Std Error Student

Obs income Value Mean Predict Residual Residual Residual

 

131 43604 43016 165.1556 587.6309 857.1 0.686

132 41151 42003 96.8359 -852.0638 867.5 -0.982

133 42929 41303 116.9996 1626 865.0 1.880

134 39742 39820 108.2539 -77.9808 866.2 -0.0900

135 38811 39077 127.1147 -265.9704 863.6 -0.308

136 42379 43154 101.0365 -774.9518 867.0 -0.894

137 37305 36536 175.8181 769.0040 855.0 0.899

138 36304 36358 136.5098 -54.3145 862.2 -0.0630

139 41014 40384 178.1786 630.2153 854.5 0.738

140 34858 33906 135.8946 951.5727 862.3 1.104

141 40557 40569 182.8451 -11.5371 853.5 -0.0135

142 41138 42337 142.0000 -1199 861.3 -1.392

143 30330 31078 203.8598 -747.9080 848.8 -0.881

144 35994 35563 210.2519 431.2279 847.2 0.509

145 34642 33055 146.0697 1587 860.6 1.844

146 37012 37227 168.7146 -215.2468 856.4 -0.251

147 42258 42502 86.7878 -244.1593 868.6 -0.281

148 34077 33303 134.3932 773.7295 862.5 0.897

149 35649 36365 150.6881 -715.7745 859.8 -0.832

150 41145 41657 117.8798 -512.1082 864.9 -0.592

151 33188 33062 173.8817 126.2672 855.4 0.148

152 37999 38425 104.7494 -425.5792 866.6 -0.491

153 34255 34924 208.6729 -668.8675 847.6 -0.789

154 35193 35896 149.1187 -702.5086 860.1 -0.817

155 38148 39378 92.7941 -1230 868.0 -1.417

156 38384 38235 114.2305 148.7258 865.4 0.172

157 42202 41459 102.2766 743.2083 866.9 0.857

158 40867 40993 142.1885 -126.4153 861.2 -0.147

159 42918 41384 132.2229 1534 862.8 1.778

160 39402 38796 107.0470 606.4552 866.3 0.700

161 42609 41452 136.3724 1157 862.2 1.342

162 37356 37820 150.1555 -463.9220 859.9 -0.540

163 40276 39703 129.9258 572.8147 863.2 0.664

164 41032 42320 195.1636 -1288 850.8 -1.513

165 38647 37945 152.2914 701.5829 859.5 0.816

166 42340 40572 110.6399 1768 865.9 2.042

167 43785 42133 134.9560 1652 862.4 1.916

168 41218 41093 198.4618 125.1568 850.0 0.147

169 47834 47360 208.5058 474.2230 847.6 0.559

170 34350 33784 143.9983 565.5655 860.9 0.657

171 37293 36577 168.6554 716.3241 856.4 0.836

172 37461 36894 121.8438 566.6226 864.4 0.656

173 51341 51212 230.1445 129.3699 842.0 0.154

174 36055 37365 161.0505 -1310 857.9 -1.527

175 35499 37021 147.0127 -1522 860.4 -1.769

176 40852 41718 97.7103 -866.2486 867.4 -0.999

177 44598 44011 97.2596 586.9065 867.5 0.677

178 45455 45636 229.5611 -180.5328 842.2 -0.214

179 34753 35946 167.8522 -1193 856.6 -1.393

180 38512 39515 191.9731 -1003 851.5 -1.178

181 35697 35206 162.9420 491.3065 857.6 0.573

182 44784 42658 149.7505 2126 860.0 2.473

183 42151 41825 112.5479 325.9163 865.6 0.377

184 41244 40257 169.8355 987.2283 856.2 1.153

185 41451 41231 127.4946 220.4565 863.5 0.255

186 44168 43384 110.6869 783.8595 865.9 0.905

187 37125 38247 149.1875 -1122 860.1 -1.305

188 38917 37986 108.1077 931.1370 866.2 1.075

189 44552 44755 116.8989 -203.3436 865.0 -0.235

190 40673 41885 153.9707 -1212 859.2 -1.411

191 40842 41198 111.4712 -356.0633 865.7 -0.411

192 39442 37781 144.3569 1661 860.9 1.929

193 39445 38571 190.8834 873.7374 851.8 1.026

194 41298 41365 141.6986 -66.5275 861.3 -0.0772

195 37725 38077 237.8265 -351.6302 839.9 -0.419

Chrissy Regression by All Variables 22

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Cook's

Obs -2-1 0 1 2 D

 

131 | |* | 0.003

132 | *| | 0.002

133 | |*** | 0.011

134 | | | 0.000

135 | | | 0.000

136 | *| | 0.002

137 | |* | 0.006

138 | | | 0.000

139 | |* | 0.004

140 | |** | 0.005

141 | | | 0.000

142 | **| | 0.009

143 | *| | 0.007

144 | |* | 0.003

145 | |*** | 0.016

146 | | | 0.000

147 | | | 0.000

148 | |* | 0.003

149 | *| | 0.004

150 | *| | 0.001

151 | | | 0.000

152 | | | 0.001

153 | *| | 0.006

154 | *| | 0.003

155 | **| | 0.004

156 | | | 0.000

157 | |* | 0.002

158 | | | 0.000

159 | |*** | 0.012

160 | |* | 0.001

161 | |** | 0.008

162 | *| | 0.001

163 | |* | 0.002

164 | ***| | 0.020

165 | |* | 0.003

166 | |**** | 0.011

167 | |*** | 0.015

168 | | | 0.000

169 | |* | 0.003

170 | |* | 0.002

171 | |* | 0.005

172 | |* | 0.001

173 | | | 0.000

174 | ***| | 0.014

175 | ***| | 0.015

176 | *| | 0.002

177 | |* | 0.001

178 | | | 0.001

179 | **| | 0.012

180 | **| | 0.012

181 | |* | 0.002

182 | |**** | 0.031

183 | | | 0.000

184 | |** | 0.009

185 | | | 0.000

186 | |* | 0.002

187 | **| | 0.009

188 | |** | 0.003

189 | | | 0.000

190 | **| | 0.011

191 | | | 0.000

192 | |*** | 0.017

193 | |** | 0.009

194 | | | 0.000

195 | | | 0.002

Chrissy Regression by All Variables 23

17:07 Tuesday, November 4, 2003

 

The REG Procedure

Model: MODEL1

Dependent Variable: income

 

Output Statistics

 

Dep Var Predicted Std Error Std Error Student

Obs income Value Mean Predict Residual Residual Residual

 

196 37356 36834 173.7102 522.4019 855.4 0.611

197 41817 43003 142.8060 -1186 861.1 -1.377

198 39697 38801 219.6641 896.2012 844.8 1.061

199 41826 43485 211.5881 -1659 846.9 -1.959

 

Output Statistics

 

Cook's

Obs -2-1 0 1 2 D

 

196 | |* | 0.003

197 | **| | 0.009

198 | |** | 0.013

199 | ***| | 0.040

 

 

Sum of Residuals 0

Sum of Squared Residuals 147056079

Predicted Residual SS (PRESS) 156412298