第二章欧阳学文2.2（1）①对于浙江省预算收入与全省生产总值的模型，用Eviews 分析结果如下：Dependent Variable: YMethod: Least SquaresDate: 12/03/14 Time: 17:00Sample (adjusted): 1 33Included observations: 33 after adjustmentsVariable Coefficient Std. Error t-Statistic Prob.X0.1761240.00407243.256390.0000C-154.306339.08196-3.9482740.0004R-squared0.983702 Mean dependent var902.5148Adjusted R-squared0.983177 S.D. dependent var1351.009S.E. of regression175.2325 Akaike info criterion13.22880Sum squared resid951899.7 Schwarz criterion13.31949Log likelihood-216.2751 Hannan-Quinn criter.13.25931F-statistic1871.115 Durbin-Watson stat0.100021Prob(F-statistic)0.000000②由上可知，模型的参数：斜率系数0.176124，截距为—154.3063③关于浙江省财政预算收入与全省生产总值的模型，检验模型的显著性：1）可决系数为0.983702，说明所建模型整体上对样本数据拟合较好。
2）对于回归系数的t检验：t（β2）=43.25639>t0.025(31)=2.0395，对斜率系数的显著性检验表明，全省生产总值对财政预算总收入有显著影响。
④用规范形式写出检验结果如下：Y=0.176124X—154.3063(0.004072) (39.08196)t= (43.25639) （-3.948274）R2=0.983702 F=1871.115 n=33⑤经济意义是：全省生产总值每增加1亿元，财政预算总收入增加0.176124亿元。
（2）当x=32000时，①进行点预测，由上可知Y=0.176124X—154.3063，代入可得：Y= Y=0.176124*32000—154.3063=5481.6617②进行区间预测：先由Eviews分析：由上表可知，∑x2=∑（Xi—X）2=δ2x(n—1)= 7608.0212 x (33—1)=1852223.473(Xf—X)2=(32000— 6000.441)2=675977068.2当Xf=32000时，将相关数据代入计算得到：5481.6617—2.0395x175.2325x√1/33+1852223.473/675977068.2≤Yf≤5481.6617+2.0395x175.2325x√1/33+1852223.473/6759770 68.2即Yf的置信区间为（5481.6617—64.9649, 5481.6617+64.9649）(3) 对于浙江省预算收入对数与全省生产总值对数的模型，由Eviews分析结果如下：Dependent Variable: LNYMethod: Least SquaresDate: 12/03/14 Time: 18:00Sample (adjusted): 1 33Included observations: 33 after adjustmentsVariable Coefficient Std. Error t-Statistic Prob.LNX0.9802750.03429628.582680.0000C-1.9182890.268213-7.1521210.0000R-squared0.963442 Mean dependent var 5.573120Adjusted R-squared0.962263 S.D. dependent var 1.684189S.E. of regression0.327172 Akaike info criterion0.662028Sum squared resid 3.318281 Schwarz criterion0.752726Log likelihood-8.923468 Hannan-Quinn criter.0.692545F-statistic816.9699 Durbin-Watson stat0.096208Prob(F-statistic)0.000000①模型方程为：lnY=0.980275lnX-1.918289②由上可知，模型的参数：斜率系数为0.980275，截距为-1.918289③关于浙江省财政预算收入与全省生产总值的模型，检验其显著性：1）可决系数为0.963442，说明所建模型整体上对样本数据拟合较好。
2）对于回归系数的t检验：t（β2）=28.58268>t0.025(31)=2.0395，对斜率系数的显著性检验表明，全省生产总值对财政预算总收入有显著影响。
④经济意义：全省生产总值每增长1%，财政预算总收入增长0.980275%2.4（1）对建筑面积与建造单位成本模型，用Eviews分析结果如下：Dependent Variable: YMethod: Least SquaresDate: 12/01/14 Time: 12:40Sample: 1 12Included observations: 12Variable Coefficient Std. Error t-Statistic Prob.X-64.18400 4.809828-13.344340.0000C1845.47519.2644695.796880.0000R-squared0.946829 Mean dependent var1619.333Adjusted R-squared0.941512 S.D. dependent var131.2252S.E. of regression31.73600 Akaike info criterion9.903792Sum squared resid10071.74 Schwarz criterion9.984610Log likelihood-57.42275 Hannan-Quinn criter.9.873871F-statistic178.0715 Durbin-Watson stat 1.172407Prob(F-statistic)0.000000由上可得：建筑面积与建造成本的回归方程为：Y=1845.475--64.18400X（2）经济意义：建筑面积每增加1万平方米，建筑单位成本每平方米减少64.18400元。
（3）①首先进行点预测，由Y=1845.475--64.18400X得，当x=4.5，y=1556.647②再进行区间估计：用Eviews分析：由上表可知，∑x2=∑（Xi—X）2=δ2x(n—1)= 1.9894192 x (12—1)=43.5357 (Xf—X)2=(4.5— 3.523333)2=0.95387843当Xf=4.5时，将相关数据代入计算得到：1556.647—2.228x31.73600x√1/12+43.5357/0.95387843≤Yf≤1556.647+2.228x31.73600x√1/12+43.5357/0.95387843即Yf的置信区间为（1556.647—478.1231, 1556.647+478.1231）第三章3.2１）对出口货物总额计量经济模型，用Eviews分析结果如下：：Dependent Variable: YMethod: Least SquaresDate: 12/01/14 Time: 20:25Sample: 1994 2011Included observations: 18Variable Coefficient Std. Error t-Statistic Prob.X20.1354740.01279910.584540.0000X318.853489.776181 1.9285120.0729C-18231.588638.216-2.1105730.0520R-squared0.985838 Mean dependent var6619.191Adjusted R-squared0.983950 S.D. dependent var5767.152S.E. of regression730.6306 Akaike info criterion16.17670Sum squared resid8007316. Schwarz criterion16.32510Log likelihood-142.5903 Hannan-Quinn criter.16.19717F-statistic522.0976 Durbin-Watson stat 1.173432Prob(F-statistic)0.000000①由上可知，模型为：Y = 0.135474X2 + 18.85348X3 - 18231.58②对模型进行检验：1）可决系数是0.985838，修正的可决系数为0.983950，说明模型对样本拟合较好2）F检验，F=522.0976>F（2,15）=4.77，回归方程显著3）t检验，t统计量分别为X2的系数对应t值为10.58454，大于t（15）=2.131，系数是显著的，X3的系数对应t值为1.928512，小于t（15）=2.131，说明此系数是不显著的。
（2）对于对数模型，用Eviews分析结果如下：Dependent Variable: LNYMethod: Least SquaresDate: 12/01/14 Time: 20:25Sample: 1994 2011Included observations: 18Variable Coefficient Std. Error t-Statistic Prob.LNX2 1.5642210.08898817.577890.0000LNX3 1.7606950.682115 2.5812290.0209C-20.52048 5.432487-3.7773630.0018R-squared0.986295 Mean dependent var8.400112Adjusted R-squared0.984467 S.D. dependent var0.941530S.E. of regression0.117343 Akaike info criterion-1.296424Sum squared resid0.206540 Schwarz criterion-1.148029Log likelihood14.66782 Hannan-Quinn criter.-1.275962F-statistic539.7364 Durbin-Watson stat0.686656Prob(F-statistic)0.000000①由上可知，模型为：LNY=-20.52048+1.564221 LNX2+1.760695 LNX3②对模型进行检验：1）可决系数是0.986295，修正的可决系数为0.984467，说明模型对样本拟合较好。