多元线性回归分析城镇居民消费性支出的情况

182, 1.864),( -1.925, -0.577),( -44.791, 15.694),( -0.287, 0.023), (-0.269,0.019)。Р输出结果文件中残差统计结果表(表七)如下:РResiduals Statistics(a)Р РMinimumРMaximumРMeanРStd. DeviationРNРPredicted ValueР312.5890Р7,943.6558Р2,699.8667Р2,144.37001Р30РStd. Predicted ValueР-1.113Р2.445Р0.000Р1.000Р30РStandard Error of Predicted ValueР43.081Р118.958Р67.238Р20.041Р30РAdjusted Predicted ValueР316.6982Р8,058.3042Р2,696.5003Р2,151.22774Р30РResidualР-521.48700Р586.98517Р0.00000Р181.68750Р30РStd. ResidualР-2.718Р3.059Р0.000Р0.947Р30РStud. ResidualР-3.148Р3.635Р0.008Р1.091Р30РDeleted ResidualР-699.81439Р828.72632Р3.36640Р242.42921Р30РStud. Deleted ResidualР-3.925Р5.082Р0.034Р1.350Р30РMahal. DistanceР0.495Р10.179Р2.900Р2.460Р30РCook's DistanceР0.000Р1.360Р0.098Р0.288Р30РCentered Leverage ValueР0.017Р0.351Р0.100Р0.085Р30