Question: . w Answer the following questions in a Word document: Given the following data where city MPG is the response variable and weight is the

. w Answer the following questions in a Word document: Given the following data where city MPG is the response variable and weight is the explanatory variable, explain why a regression line would be appropriate to analyze the relationship between these variables: Model City Wei MPG ght Mazda MX-5 25 236 Miata 5 Mercedes/Benz 22 302 SLK 0 Mitsubishi 23 323 Eclipse 5 Pontiac Firebird 18 354 5 Porsche Boxster 19 290 5 Saturn SC 27 242 0 . Construct the regression line for this data. Interpret the meaning of the y-intercept and the slope within this scenario. What would you predict the city MPG to be for a car that weighs 3000 pounds? If a car that weighs 3000 pounds actually gets 32 MPG, would this be unusual? Calculate the residual and talk about what that value represents

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