2 41.5 44.7 31.5 40.4 肺活量(y) 1.75 2.75 2.75 2.75 2.5 3 .00 2.75 2.25 2 .00 2.75 1.75 2.75 Correlations xy x Pearson Correlation 1 .608 * Sig. (2-tailed) .036 N 12 12 y Pearson Correlation .608 *1 Sig. (2-tailed) .036 N 12 12 *. Correlation is significant at the 0.05 level (2-tailed). ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression .760 1 .760 5.854 .036 a Residual 1.298 10 .130 Total 2.057 11 a. Predictors: (Constant), x b. Dependent Variable: y Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) .714 .737 .969 .355 x .044 .018 .608 2.419 .036 Dependent Variable: y(1 )请写出两变量间的 Pearson 相系数及假设检验的结果。( ?=0.05 )(5 分) (2 )假设肺活量满足来自正态分布总体,请写出关于体重( x )与肺活量( y )直线回归方程以及用方差分析法对总体回归系数进行检验的结果。(?=0.05 )(7 分) zhangmingzhi@suda.
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