多元线回归模型试验.doc

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_100MMean181.54141.42857139.0357112595.43736.51711082.334Median122.00001.00000031.3000012420.00711.11001051.330Maximum328.70002.00000080.7400017866.001113.7201746.440Minimum80.690001.00000014.540008490.000446.9100623.2900Std. Dev.97.513070.53452225.296993441.580239.8073401.0801Skewness0.4860830.2886750.6723760.2657870.3458020.477159Kurtosis1.5995481.0833331.9834151.7962791.8659522.063457Jarque-Bera0.8476921.1686920.8288590.5050250.5146110.521452Probability0.6545250.5574700.6607170.7768460.7731320.770492Sum1270.79010.00000273.250088168.005155.6207576.340Sum Sq. Dev.57052.791.7142863839.62771066842345045.2965191.5Observations777777散点描绘图模型参数估计结果Dependent Variable: VOLUME_10000M_2Method: Least SquaresDate: 05/31/12 Time: 20:00Sample: 1 7Included observations: 7VariableCoefficientStd. Errort-StatisticProb.C30.2685189.890410.3367270.7932POLICY_STRONG_1_3_74.3450960.535361.2281270.4350INVESTMENT_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-squared0.995154Mean dependent var181.5414Adjusted R-squared0.970922S.D. dependent var97.51307S.E. of regression16.62833Akaike info criterion8.228468Sum squared resid276.5014Schwarz criterion8.182106Log likelihood-22.79964Hannan-Quinn criter.7.655434F-statistic41.06764Durbin-Watson stat2.323599Prob(F-statistic)0.117898预测值Last updated: 05/31/12 - 20:16Modified: 1 7 / fit(f=actual) volume_100f188.441862105.28443108.48604129.23775226.95036282.93617329.45368NA9NA10NA标准误差Last updated: 05/31/12 - 2