R Square
Adjusted R Square 标准误差 观测值
方差分析
Significance
df SS MS F F
回归分析 2 23.43540779 11.7177039 28.37776839 0.001865242 残差 5 2.064592208 0.412918442 总计 7 25.5
Coefficients 标准误差 t Stat P-value Lower 95% Upper 95%
Intercept 83.23009169 1.573868952 52.88247894 4.57175E-08 79.18433275 87.27585063 电视广告费用 /万元 2.290183621 0.304064556 7.531899313 0.000653232 1.508560797 3.071806445 报纸广告费用 /万元 1.300989098 0.320701597 4.056696662 0.009760798 0.476599399 2.125378798 SUMMARY OUTPUT 回归统计 Multiple R 0.807807408 R Square 0.652552809 Adjusted R Square 0.594644943 标准误差 1.215175116 观测值 8 方差分析
Significance
df SS MS F F
回归分析 1 16.64009662 16.64009662 11.26881134 0.015288079 残差 6 8.859903382 1.476650564 总计 7 25.5
Coefficients 标准误差 t Stat P-value Lower 95% Upper 95%
Intercept 88.63768116 1.582367131 56.01587609 2.174E-09 84.76576828 92.50959404 电视广告费用 /万元 1.603864734 0.47778079 3.356905024 0.015288079 0.434777259 2.772952209 [1]回归方程为：y=1.60x+88.64 [2]回归方程：y=2.29x1+1.30x2+83.23 F值0.001865小于0.05，回归方程的线性关系显著 对于x1的系数：p值0.00065小于0.05，显著
0.9190356
0.88664984 0.642587303 8