call: Im(formula - mpg - wt + drat + wt:drat . am, data - atcars_subset) Residuals: Min 1Q Median 3Q Max -3.6907 -1.4711 -0.2512 0.9344 6.7453 5 % 95% Coefficients: Estimate Std. Error t value Pr(>It|) (Intercept) -18.7488 25.2427 (Intercept) 3.247 12.914 0.251 0.8034 wit 4.168 3.822 1.091 0.2851 wt -2.3414 10.6771 drat 9.562 3. 529 2.710 0,0116 -1.464 1.597 -0.917 0.3674 drat 3.5516 15.5725 wt :drat -2.708 1. 111 -2.438 0.0216 . am1 -4.1845 1 2564 Signif. codes: 0 .* 0.001 ... 0.01 .' e.es . e.1 1 wt:drat -4 6004 -0.8164 Residual standard error: 2.847 on 27 degrees of freedom Multiple R-squared: 0.8057, Adjusted R-squared: 0.7769 Fistatistic: 27.99 on 4 and 27 DF, p-value: 2.948e-09 Using the second model, what is the predicted fuel economy for a car that has 175 horsepower 14.2 quarter mile time and 6 cylinders? Note that the number of cylinders is a qualitative variable. Therefore, set it equal to '6' (using single quotes). What is the 95% prediction interval for the fuel economy of this car? Interpret the interval. What is the 95% confidence interval for the fuel economy of this car? Interpret the interval. Why are prediction intervals wider than confidence intervals