
2008年05月12日
課題
Call:
lm(formula = log(y) ~ log(x))
Residuals:
Min 1Q Median 3Q Max
-1.0158 -0.3376 -0.1032 0.2864 2.7844
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.97836 0.06903 28.66 <2e-16 ***
log(x) 0.78525 0.07021 11.18 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.5374 on 95 degrees of freedom
(3 observations deleted due to missingness)
Multiple R-Squared: 0.5683, Adjusted R-squared: 0.5638
F-statistic: 125.1 on 1 and 95 DF, p-value: < 2.2e-16


lm(formula = log(y) ~ log(x))
Residuals:
Min 1Q Median 3Q Max
-1.0158 -0.3376 -0.1032 0.2864 2.7844
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.97836 0.06903 28.66 <2e-16 ***
log(x) 0.78525 0.07021 11.18 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.5374 on 95 degrees of freedom
(3 observations deleted due to missingness)
Multiple R-Squared: 0.5683, Adjusted R-squared: 0.5638
F-statistic: 125.1 on 1 and 95 DF, p-value: < 2.2e-16


Posted by e051103 at 14:06│Comments(0)