文档介绍：第二章简单线性回归模型 (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 X1 R-squared Mean dependent var Adjusted R-squared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood - Hannan-Quinn criter. F-statistic Durbin-Watson stat Prob(F-statistic) 有上可知,关系式为 y=+ 1 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 Sample: 1 22 Included observations: 22 Variable Coefficient Std. Error t-Statistic Prob. C X2 R-squared Mean dependent var Adjusted R-squared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood - Hannan-Quinn criter. F-statistic Durbin-Watson stat Prob(F-statistic) 由上可知,关系式为 y=+ 2 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 X3 R-squared Mean dependent var Adjusted R-squared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood - Hannan-Quinn criter. F-statistic Durbin-Watson stat Prob(F-statistic) 由上可知,关系式为 y=+ 3 (2)①关于人均寿命与人均 GDP 模型,由上可知,可决系数为