第二章 简单线性回归模型 2.1
(1) ①首先分析人均寿命与人均GDP 的数量关系,用Eviews 分析: Dependent Variable: Y Method: Least Squares Date: 12/27/14 Time: 21:00 Sample: 1 22
Included observations: 22 Variable Coefficient Std. Error t-Statistic Prob. C 56.64794 1.960820 28.88992 0.0000
X1 0.128360 0.027242 4.711834 0.0001 R-squared 0.526082 Mean dependent var 62.50000
Adjusted R-squared 0.502386 S.D. dependent var 10.08889 S.E. of regression 7.116881 Akaike info criterion 6.849324 Sum squared resid 1013.000 Schwarz criterion 6.948510 Log likelihood -73.34257 Hannan-Quinn criter. 6.872689 F-statistic 22.20138 Durbin-Watson stat 0.629074
Prob(F-statistic) 0.000134 有上可知,关系式为y=56.64794+0.128360x1 ②关于人均寿命与成人识字率的关系,用Eviews 分析如下: Dependent Variable: Y Method: Least Squares Date: 11/26/14 Time: 21:10
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Sample: 1 22
Included observations: 22 Variable Coefficient Std. Error t-Statistic Prob. C 38.79424 3.532079 10.98340 0.0000
X2 0.331971 0.046656 7.115308 0.0000 R-squared 0.716825 Mean dependent var 62.50000
Adjusted R-squared 0.702666 S.D. dependent var 10.08889 S.E. of regression 5.501306 Akaike info criterion 6.334356 Sum squared resid 605.2873 Schwarz criterion 6.433542 Log likelihood -67.67792 Hannan-Quinn criter. 6.357721 F-statistic 50.62761 Durbin-Watson stat 1.846406
Prob(F-statistic) 0.000001 由上可知,关系式为y=38.79424+0.331971x2 ③关于人均寿命与一岁儿童疫苗接种率的关系,用Eviews 分析如下: Dependent Variable: Y Method: Least Squares Date: 11/26/14 Time: 21:14 Sample: 1 22
Included observations: 22 Variable Coefficient Std. Error t-Statistic Prob. C 31.79956 6.536434 4.864971 0.0001
X3 0.387276 0.080260 4.825285 0.0001 R-squared 0.537929 Mean dependent var 62.50000
Adjusted R-squared 0.514825 S.D. dependent var 10.08889 S.E. of regression 7.027364 Akaike info criterion 6.824009
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Sum squared resid 987.6770 Schwarz criterion 6.923194 Log likelihood -73.06409 Hannan-Quinn criter. 6.847374 F-statistic 23.28338 Durbin-Watson stat 0.952555
Prob(F-statistic) 0.000103 由上可知,关系式为y=31.79956+0.387276x3 (2)①关于人均寿命与人均GDP 模型,由上可知,可决系数为0.526082,说明所建模型整体上对样本数据拟合较好。
对于回归系数的t 检验:t (β1)=4.711834>t0.025(20)=2.086,对斜率系数的显着性检验表明,人均GDP 对人均寿命有显着影响。
②关于人均寿命与成人识字率模型,由上可知,可决系数为0.716825,说明所建模型整体上对样本数据拟合较好。
对于回归系数的t 检验:t (β2)=7.115308>t0.025(20)=2.086,对斜率系数的显着性检验表明,成人识字率对人均寿命有显着影响。
③关于人均寿命与一岁儿童疫苗的模型,由上可知,可决系数为0.537929,说明所建模型整体上对样本数据拟合较好。
对于回归系数的t 检验:t (β3)=4.825285>t0.025(20)=2.086,对斜率系数的显着性检验表明,一岁儿童疫苗接种率对人均寿命有显着影响。 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: Y Method: Least Squares Date: 12/03/14 Time: 17:00
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