I have worked a problem with multiply regression, but I wanted to insure I completed the assignment correctly. The problem is below.

Download the "State Crime" Excel sheet; row 2 gives detailed descriptions of each variable, while row 4 gives short versions that should be used in your regressions. Estimate the following multiple regression models (remember that all of your independent variables will have to be in adjacent columns in Excel). Look at each set of results critically and consider how you would interpret the strengths and weaknesses of each model. Save your results from each model for use when completing the end-of-module assessment. Use "CarTheft" as your dependent variable in each model. The notation f(X, Y, Z) means "a function of X, Y, Z; i.e., X, Y, and Z are your independent variables. Even though it isn't listed, each model will include an intercept. NOTE: when Excel reports a value like 2.4E-06, this is scientific notation for 2.4 * (10^-6), or 0.0000024.

Model A: CarTheft = f(Population, %Poverty, Rain)

Model B: CarTheft = f(%Unemploy, %young)

Model C: CarTheft = f(%Unemploy, %youngmale)

Model D: CarTheft = f(%Unemploy, %youngfemale)

Model E: CarTheft = f(PerCapIncome, Rain, MedianAge, %Metro)

Model F: CarTheft = f(PerCapIncome, Temp, MedianAge, %Metro)

Model G: CarTheft = f(PerCapIncome, Sun, MedianAge, %Metro)

The state of West Dakota currently has per capita income of $41,200, 103 sunny days per year, median age of 38.7 years, and 64.2% (or 0.642) of the population in a metro area. The state suddenly experiences an inflow of young people, and decreases its median age to 36.2. This change will likely be associated with the car theft rate changing from about 160 annual car thefts to about ___ annual car thefts