QUESTIONS Assignment 3 1 Write the estimated equations for both models (the equation of the line for model1 and model2 (50 points) 2 Does the variable cyl explain well the variability in mpg explain why (25points) 3 Does the variable hp explain well the variability in mpg explain why (25 points) Call lm(formula mpg cyl, data mtcars) Residuals Min 1Q Median 3Q Max 4 9814 2 1185 0 2217 1 0717 7 5186 Coefficients Estimate Std Error t value Pr( It ) (Intercept) 37 8846 2 0738 18 27 2e 16 0 3224 8 92 6 11e 10 cyl 2 8758 Signif codes 0 0 001 0 01 0 05 ' ' 0 1 ' 1 $ Residual standard error 3 206 on 30 degrees of freedom Multiple R squared 0 7262, Adjusted R squared 0 7171 F statistic 79 56 on 1 and 30 DF, p value 6 113e 10 lm(formula mpg cyl hp, data mtcars) 1Q Median Residuals Min 4 4948 2 4901 0 1828 1 9777 30 Max 7 2934 Coefficients Estimate Std Error t value Pr( It ) (Intercept) 36 90833 2 19080 16 847 2e 16 cyl 2 26469 0 57589 3 933 0 00048 hp 0 01912 0 01500 1 275 0 21253 Signif codes 0 0 001 0 01 ' ' 0 05 0 1'1 Residual standard error 3 173 on 29 degrees of freedom Multiple R squared 0 7407, Adjusted R squared 0 7228 F statistic 41 42 on 2 and 29 DF, p value 3 162e 09

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Question: QUESTIONS: Assignment 3 1. Write the estimated equations for both models (the equation of the line for model1 and model2. (50 points) 2. Does

QUESTIONS: Assignment 3 1. Write the estimated equations for both models (the equation of the line for model1 and model2. (50 points) 2. Does the variable "cyl" explain well the variability in "mpg"? explain why. (25points) 3. Does the variable "hp" explain well the variability in "mpg"? explain why. (25 points) Call: lm(formula = mpg cyl, data = mtcars) Residuals: Min 1Q Median 3Q Max -4.9814 -2.1185 0.2217 1.0717 7.5186 Coefficients: Estimate Std. Error t value Pr(>It!) (Intercept) 37.8846 2.0738 18.27

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