Question

Call: lm(formula = mpg ~ hp + wt, data = mtcars) Residuals: Min 1Q Median 3Q Max -3.941 -1.600 -0.182 1.050 5.854 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 37.22727 1.59879 23.285 < 2e-16 * hp -0.03177 0.00903 -3.519 0.00145 wt -3.87783 0.63273 -6.129 1.12e-06 * --- Signif. codes: 0 ‘*’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0. Residual standard error: 2.593 on 29 degrees of freedom Multiple R-squared: 0.8268, Adjusted R-squared: 0.

          Call:
lm(formula = mpg ~ hp + wt, data = mtcars)
Residuals:
Min      1Q  Median      3Q     Max
-3.941 -1.600  -0.182   1.050   5.854
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 37.22727   1.59879  23.285  < 2e-16 ***
hp         -0.03177   0.00903  -3.519   0.00145 **
wt         -3.87783   0.63273  -6.129 1.12e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0. 
Residual standard error: 2.593 on 29 degrees of freedom
Multiple R-squared:  0.8268,
Adjusted R-squared: 0.

Call:
lm(formula = mpg hp + wt, data = mtcars)
Residuals:
Min 1Q Median 3Q Max
-3.941 -1.600 -0.182 1.050 5.854
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 37.22727 1.59879 23.285 < 2e-16 ***
hp -0.03177 0.00903 -3.519 0.00145 **
wt -3.87783 0.63273 -6.129 1.12e-06 ***
—
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.
Residual standard error: 2.593 on 29 degrees of freedom
Multiple R-squared: 0.8268,
Adjusted R-squared: 0.

Added by Marvin T.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Thanks for your feedback!

For the above model, what is the predicted miles per gallon for a car with 110 horsepower and that weighs 2.62 tons? Assume the model measures weight in tons. 3 sig digits Call: lm(formula = mpg ~ hp + wt, data = mtcars) Residuals: Min 1Q Median -3.941 -1.600 -0.182 3Q Max 1.050 5.854 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 37.22727 1.59879 23.285 < 2e-16 *** hp -0.03177 0.00903 -3.519 0.00145 ** wt -3.87783 0.63273 -6.129 1.12e-06 *** Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 2.593 on 29 degrees of freedom Multiple R-squared: 0.8268, Adjusted R-squared: 0.