多元线性回归模型试验

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1、各个变量的统计描述表格VOLUME_10000M_2POLICY_STRONG___1__3_INVESTMENT_TO_REALTY__10INCOME_PER_HEAD___DEPOSIT_OF_TOWNSMAN_100MCITY_GDP_100M Mean 181.5414 1.428571 39.03571 12595.43 736.5171 1082.334 Median 122.0000 1.000000 31.30000 12420.00 711.1100 1051.330 Maximum 328.7000 2.00

2、0000 80.74000 17866.00 1113.720 1746.440 Minimum 80.69000 1.000000 14.54000 8490.000 446.9100 623.2900 Std.Dev. 97.51307 0.534522 25.29699 3441.580 239.8073 401.0801 Skewness 0.486083 0.288675 0.672376 0.265787 0.345802 0.477159 Kurtosis 1.599548 1.083333 1.983415 1.7

3、96279 1.865952 2.063457 Jarque-Bera 0.847692 1.168692 0.828859 0.505025 0.514611 0.521452 Probability 0.654525 0.557470 0.660717 0.776846 0.773132 0.770492 Sum 1270.790 10.00000 273.2500 88168.00 5155.620 7576.340 SumSq.Dev. 57052.79 1.714286 3839.627 71066842 345045.

4、2 965191.5 Observations 7 7 7 7 7 7散点描绘图模型参数估计结果DependentVariable:VOLUME_10000M_2Method:LeastSquaresDate:05/31/12Time:20:00Sample:17Includedobservations:7VariableCoefficientStd.Errort-StatisticProb.  C30.2685189.890410.3367270.7932POLICY_STRONG___1__3_74.3450960.53536

5、1.2281270.4350INVESTMENT_TO_REALTY__101.8972213.1535140.6016210.6552INCOME_PER_HEAD___-0.0279370.042191-0.6621590.6277DEPOSIT_OF_TOWNSMAN_100M0.3288060.6849670.4800320.7151CITY_GDP_100M0.0745720.5951030.1253100.9206R-squared0.995154    Meandependentvar181.5414Adjusted

6、R-squared0.970922    S.D.dependentvar97.51307S.E.ofregression16.62833    Akaikeinfocriterion8.228468Sumsquaredresid276.5014    Schwarzcriterion8.182106Loglikelihood-22.79964    Hannan-Quinncriter.7.655434F-statistic41.06764    Durbin-Watsonstat2.323599Prob(F-statistic

7、)0.117898预测值Lastupdated:05/31/12-20:16Modified:17//fit(f=actual)volume_100f188.441862105.28443108.48604129.23775226.95036282.93617329.45368NA9NA10NA标准误差Lastupdated:05/31/12-20:16122.20161223.37564319.96613422.37449523.50617623.47226723.503938NA9NA10NA模型预测评估各变量的图像