应用回归分析 第五章习题 5 .1 0 (1 )建立y 对26x ~ x 的线性回归方程 Coefficientsa Model Unstandardiz ed Coefficients Standardiz ed Coefficients t Sig. B Std. Error Beta 1 (Constant) 5922.827 2504.315 2.365 .040 x 2 4.864 2.507 .677 1.940 .081 x 3 2.374 .842 .782 2.818 .018 x 4 -817.901 187.279 -1.156 -4.367 .001 x 5 14.539 147.078 .050 .099 .923 x 6 -846.867 291.634 -.899 -2.904 .016 a. Dependent Variable: y 由上可知,线性回归方程是: 234565922 8274 8642 374817 90114 539846 867y..x.x.x.x.x(2 )用后退法选择变量 Coefficientsa Model Unstandardiz ed Coefficients Standardiz ed Coefficients t Sig. B Std. Error Beta 1 (Constant) -2530523.651 1053982.823 -2.401 .040 x 2 -27.458 13.588 -3.823 -2.021 .074 x 3 3.321 .797 1.094 4.169 .002 x 4 -1506.217 324.836 -2.128 -4.637 .001 x 5 212.489 146.255 .737 1.453 .180 x 6 -477.930 284.609 -.507 -1.679 .127 x 1 1304.787 542.184 5.104 2.407 .039 2 …………………………………………………………………… 3 (Constant) -445380.948 110447.795 -4.033 .002 x 3 2.310 .457 .761 5.055 .000 x 4 -971.882 174.101 -1.373 -5.582 .000 x 6 -827.999 220.276 -.879 -3.759 .003 x 1 232.202 56.138 .908 4.136 .002 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -2530523.651 1053982.823 -2.401 .040 x2 -27.458 13.588 -3.823 -2.021 .074 x3 3.321 .797 1.094 4.169 .002 x4 -1506.217 324.836 -2.128 -4.637 .001 x5 212.489 146.255 .737 1.453 .180 x6 -477.930 284.609 -.507 -1.679 .127 x1 1304.787 542.184 5.104 2.407 .039 2 …………………………………………………………………… 3 (Constant) -445380.948 110447.795 -4.033 .002 x3 2.310 .457 .761 5.055 .000 x4 -971.882 174.101 -1.373 -5.582 .000 x6 -827.999 220.276 -.879 -3.759 .003 x1 232.202 ...