Mat 303 Module One Problem Set Reportmultiple Regressionsout

MAT 303 Module One Problem Set ReportMultiple RegressionSouthern New Hampshire University 02:18:41 GMT -05:00Note: Replace the bracketed text on page one (the cover page) with your personal information.1. IntroductionThe data set that I will be exploring in the following assignment is the mtcars.csv data set. The mtcars.csv data set is used to study fuel economy of a car. There are several variables that are associated with fuel economy within the data set. The results that I gather can be used by the car manufacturer to improve the car’s fuel economy and help improve the newer version of the car. With this data set the type of analyses that I will run will be correlation analysis and multiple regression models.2. Data PreparationIn this data set the important variables are: mpg, miles/(US) gallon; cyl, number of cylinders(4,6,8); disp, metric good for total engine power; hp, theoretical output of an engines total engine power; drat, rear axle ratio; wt, representing weight (1000 lbs.); qsec, quarter mile time; vs, engine(0 = V-shaped, 1 = straight); am, transmission (0 = automatic, 1 = manual); gear, number of forward gears. The data frame of the data set is 32 by 12