《SAS实验报告》word版.doc

1 7 26 6 60 78.52 1 29 15 52 74.3 3 11 56 8 20 104.3 4 11 31 8 47 87.6 5 7 52 6 33 95.6 6 11 55 9 22 109.2 7 3 71 17 6 102.7 8 1 31 22 44 72.59 2 54 18 22 93.110 21 47 4 26 115.911 1 40 23 34 83.812 11 66 9 12 113.213 10 68 8 12 109.4data ch;input X1 X2 X3 X4 Y ;cards; 7 26 6 60 78.5 1 29 15 52 74.311 56 8 20 104.311 31 8 47 87.6 7 52 6 33 95.611 55 9 22 109.2 3 71 17 6 102.7 1 31 22 44 72.5 2 54 18 22 93.121 47 4 26 115.9 1 40 23 34 83.811 66 9 12 113.210 68 8 12 109.4;proc reg;model Y=X1-X4;model Y=X1-X4/selection=stepwise;run; SAS 系统 2012年03月20日 星期二 下午04时44分30秒 1 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 13 Number of Observations Used 13 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr F Model 4 2664.41342 666.10335 112.01 |t| Intercept 1 64.24943 69.85996 0.92 0.3846 X1 1 1.54135 0.74253 2.08 0.0716 X2 1 0.48787 0.72161 0.68 0.5181 X3 1 0.09265 0.75244 0.12 0.9050 X4 1 -0.16470 0.70692 -0.23 0.8216 SAS 系统 2012年03月20日 星期二 下午04时44分30秒 2 The REG Procedure Model: MODEL2 Dependent Variable: Y Number of Observations Read 13 Number of Observations Used 13 Stepwise Selection: Step 1 Variable X4 Entered: R-Square = 0.6750 and C(p) = 139.2134 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr F Model 1 1830.56771 1830.56771 22.85 0.0006 Error 11 881.42152 80.12923 Corrected Total 12 2711.98923 Parameter Standard Variable Estimate Error Type II SS F Value Pr F Intercept 117.52913 5.25492 40082 500.22 F Model 2 2639.27585 1319.63792 181.48 F Intercept 103.06213 2.09468 17603 2420.82 .0001 X1 1.43961 0.13651 808.70814 111.22 .0001 X4 -0.61372 0.04797 1190.00441 163.66 F Model 3 2664.32325 888.10775 167.69 F Intercept 72.65273 14.09711 140.67274 26.56 0.0006 X1 1.45119 0.11662 820.06061 154.84 F Model 2 2653.33707 1326.66854 226.19 F Intercept 52.59495 2.30089 3064.65541 522.51 .0001 X1 1.46840 0.12208 848.54499 144.67 .0001 X2 0.66123 0.04615 1204.06563 205.29 F 1 X4 1 0.6750 0.6750 139.213 22.85 0.0006 2 X1 2 0.2982