Results

Linear Regression

Model Fit Measures
Model	R	R²
1	0.743	0.552

Model Coefficients - mpg
Predictor	Estimate	SE	t	p
Intercept	55.820	4.354	12.820	3.751e-20
turn	-0.761	0.131	-5.823	1.546e0-7
trunk	-0.316	0.134	-2.352	0.02144

R

Call:
lm(formula = mpg ~ turn + trunk, data = data)

Residuals:
   Min     1Q Median     3Q    Max 
-8.475 -1.850  0.014  1.746 16.558 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   55.820      4.354   12.82  < 2e-16 ***
turn          -0.761      0.131   -5.82  1.5e-07 ***
trunk         -0.316      0.134   -2.35    0.021 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 3.93 on 71 degrees of freedom
Multiple R-squared:  0.552,	Adjusted R-squared:  0.54 
F-statistic: 43.8 on 2 and 71 DF,  p-value: 4.13e-13

Call:
lm(formula = mpg ~ turn + trunk, data = data)

Residuals:
   Min     1Q Median     3Q    Max 
-8.475 -1.850  0.014  1.746 16.558 

Coefficients:
            Estimate SE[hc0] t value Pr(>|t|)    
(Intercept)   55.820   4.767   11.71  < 2e-16 ***
turn          -0.761   0.142   -5.37  9.6e-07 ***
trunk         -0.316   0.120   -2.63    0.011 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 3.93 on 71 degrees of freedom
Multiple R-squared:  0.552,	Adjusted R-squared:  0.54 
F-statistic: 71.7 on 2 and 71 DF,  p-value: <2e-16

Only the coefficients

            Estimate SE[hc1] t value  Pr(>|t|)
(Intercept)  55.8200  4.8663  11.471 7.965e-18
turn         -0.7610  0.1448  -5.256 1.477e-06
trunk        -0.3162  0.1229  -2.572 1.220e-02