I need help for C and E

The U.S. Department of Energy's Fuel Economy Gulde provides fuel efficiency data for cars and trucks (U.S. Department of Energy website, February 22, 2008). A portion of the data for 311 compact, midsize, and large cars follows. The column labeled Class identifies the size of the car: Compact, Midsize, or Large. The column labeled Displacement shows the engine's displacement in liters. The column labeled Fuel Type shows whether the car uses premium (P) or regular (R) fuel, and the column labeled HwyMPG shows the fuel efficiency rating for highway driving in terms of miles per gallon. The complete data set is contained in the DATAfile named FuelData. Click on the datafile logo to reference the data. DATA (a) Develop an estimated regression equation that can be used to predict the fuel efficiency for highway driving, given the engine's displacement. Let x represent the engine's displacement. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: 300 ) y3= Is there a relationship between HwyMPG and displacement at the 0.05 level of significance? How much of the variation in the sample values of HwyMPG is is explained by this estimated regression equation? If required, round your answer to one decimal ploces. (c) Consider the addition of the dummy variables ClassMidsize and Ciasstarge to the simple linear regression model in part (a). The value of ClassMidsize is 1. if the car is a midsize car and 0 otherwise; the value of Ciasstarge is 1 if the car is a large car and 0 otherwise. Thus, for a compact car, the value of ClassMidsize and the value of Classtarge are both 0 . Devefop the estimated regression equation that can be used to predict the fuel efficiency for highway driving. given the engine's displacement and the dumery variables ClassMidsize and ClassLarge. Let x represent engine's displacervent. Let x2 represent variable Gisssmidsize. Let x3 represent variable CiassLarge. If required, round your answers to three decimal places. For subtractive or negative numbers use a minuis sign even if there is a t sign before the blank. (Example: 300 ) How much of the variation in the sample values of HwyMPG does this estimated regression equation explain? If required, round your answer to one decimal places. The U.S. Department of Energy's Fuel Economy Gulde provides fuel efficiency data for cars and trucks (U.S. Department of Energy website, February 22, 2008). A portion of the data for 311 compact, midsize, and large cars follows. The column labeled Class identifies the size of the car: Compact, Midsize, or Large. The column labeled Displacement shows the engine's displacement in liters. The column labeled Fuel Type shows whether the car uses premium (P) or regular (R) fuel, and the column labeled HwyMPG shows the fuel efficiency rating for highway driving in terms of miles per gallon. The complete data set is contained in the DATAfile named FuelData. Click on the datafile logo to reference the data. DATA (a) Develop an estimated regression equation that can be used to predict the fuel efficiency for highway driving, given the engine's displacement. Let x represent the engine's displacement. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: 300 ) y3= Is there a relationship between HwyMPG and displacement at the 0.05 level of significance? How much of the variation in the sample values of HwyMPG is is explained by this estimated regression equation? If required, round your answer to one decimal ploces. (c) Consider the addition of the dummy variables ClassMidsize and Ciasstarge to the simple linear regression model in part (a). The value of ClassMidsize is 1. if the car is a midsize car and 0 otherwise; the value of Ciasstarge is 1 if the car is a large car and 0 otherwise. Thus, for a compact car, the value of ClassMidsize and the value of Classtarge are both 0 . Devefop the estimated regression equation that can be used to predict the fuel efficiency for highway driving. given the engine's displacement and the dumery variables ClassMidsize and ClassLarge. Let x represent engine's displacervent. Let x2 represent variable Gisssmidsize. Let x3 represent variable CiassLarge. If required, round your answers to three decimal places. For subtractive or negative numbers use a minuis sign even if there is a t sign before the blank. (Example: 300 ) How much of the variation in the sample values of HwyMPG does this estimated regression equation explain? If required, round your answer to one decimal places