Table provides the highway gasoline mileage test results for 2005 model year vehicles from DaimlerChrysler. The full table of data (available on the book's Web site) contains the same data for 2005 models from over 250 vehicles from many manufacturers (Environmental Protection AgencyWeb site www.epa.gov/otaq/cert/mpg/testcars/database). Based on this data, management is looking for a report of the model for the data that best describes the data. (a) Fit a multiple linear regression model to these data to estimate gasoline mileage that uses the following regressors: cid, rhp, etw, cmp, axle, n/. (b) Estimate and the standard errors of the regression coefficients. (c) What is the predicted the gasoline mileage for the first vehicle in the table. (d) What is the Stepwise Regression solution? (e) A new vehicle with the following is expected to be released in the next few years. Predict the MPG using the analysis above (what regression method should you use from questions above?) cid: 299, rhp: 193, etw: 4275, cmp: 11.3, axle: 3.87, n/: 31.3 What is your conclusion on this vehicle? Would you release this vehicle for production? Use previous statistical tools from class to provide justification for your decision