农村居民的EViews回归输出结果
Dependent Variable: Y Method: Least Squares Date: 11/18/18 Time: 11:23 Sample: 1 31
Included observations: 31
Variable C X1 X2
R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic)
城镇居民的EViews回归输出结果
Dependent Variable: Y Method: Least Squares Date: 11/18/18 Time: 11:30 Sample: 1 31
Included observations: 31
Variable C X1 X2
R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic)
Coefficient 2599.145 0.486512 0.601749
Std. Error 827.3419 0.057588 0.104244
t-Statistic 3.141561 8.448182 5.772494
Prob. 0.0039 0.0000 0.0000 17190.60 3963.845 17.01162 17.15039 17.05685 1.914732
Coefficient 1025.251 0.676105 0.595807
Std. Error 461.7804 0.045727 0.093375
t-Statistic 2.220213 14.78580 6.380822
Prob. 0.0347 0.0000 0.0000 7065.781 2486.995 15.96955 16.10832 16.01478 1.515892
0.930522 Mean dependent var 0.925560 S.D. dependent var 678.5458 Akaike info criterion 12891881 Schwarz criterion -244.5280 Hannan-Quinn criter. 187.5036 Durbin-Watson stat 0.000000
0.922460 Mean dependent var 0.916921 S.D. dependent var 1142.514 Akaike info criterion 36549482 Schwarz criterion -260.6800 Hannan-Quinn criter. 166.5516 Durbin-Watson stat 0.000000
据回归结果可得,农村理论模型为:Y=1025.251+0.676𝑋𝑖1+0.596𝑋𝑖2 城镇理论模型为:Y=2599.1+0.487𝑋𝑖1+0.602𝑋𝑖2
由变量显著性检验得到:在10%的显著性水平下,Di和DiXi1是显著的,而DiXi2不显著。因此:
2013年农村居民的平均消费支出要比城镇居民少1573.9元; 在其他条件不变的情况下,农村居民与城镇居民的工资收入都增加100元时,农村居民要比城镇居民多支出19元用于生活消费;
农村居民与城镇居民在其他收入方面有相同的增加量时,两者增加的消费支出没有显著差异。
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