25.77 4.87 1.64 23.17 5.80 1.90 28.57 5.22 1.66 23.52 5.18 1.98 21.86 4.86 1.59 28.95 5.18 1.37 24.53 4.88 1.39 27.65 5.02 1.66 27.29 5.55 1.70 29.07 5.26 1.82 32.47 5.18 1.75 29.65 5.08 1.70 22.11 4.90 1.81 22.43 4.65 1.82 20.04 5.08 1.53]; x=[ones(25,1), x1]; y=[15.02 12.62 14.86 13.98 15.91 12.47 15.80 14.32 13.76 15.18 14.20 17.07 15.40 15.94 14.33 15.11 13.81 15.58 15.85 15.28 16.40 15.02 15.73 14.75 14.35];
[b,bint,r,rint,stats]=regress(y,x,0.05) rcoplot(r,rint) 结果
13
b =
0.8539 0.0178 2.0782 1.9396
bint =
-1.9995 3.7073 -0.0429 0.0784 1.5199 2.6365 0.8799 2.9993 r =
-0.0117 -0.2270 -0.7043 -0.0645 0.5420 -0.5628 -0.0424 0.4385 0.4483 -0.4225 -0.4134 0.0657 -0.0293 0.0628 -0.0962 0.3195 -0.3173 0.5827 -0.3200 -0.5517 0.8100 -0.2151 0.7895 0.3040 -0.3847 rint =
-0.7529 0.7296
14
-1.0834 0.6294 -1.5394 0.1307 -0.9901 0.8611 -0.2963 1.3802 -1.3877 0.2621 -0.9732 0.8883 -0.4515 1.3285 -0.4300 1.3266 -1.3338 0.4888 -1.3498 0.5230 -0.7458 0.8773 -0.9705 0.9118 -0.8073 0.9330 -1.0266 0.8341 -0.5428 1.1819 -1.2330 0.5984 -0.3303 1.4956 -1.2244 0.5845 -1.4402 0.3369 0.0281 1.5918 -1.1390 0.7087 -0.0365 1.6155 -0.5634 1.1714 -1.2544 0.4850 stats =
0.8436 37.7453 0.0000 0.2114
15
Residual Case Order Plot1.510.5slaudis0Re-0.5-1-1.5510152025Case Number
同理题一可知,剔除残差较大的数据。 剔除数据后
16
残差图
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