"State Crime1" Excel attached for values; row 2 gives detailed descriptions of each variable, while row 4 gives short versions that should be used in the 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. 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.

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 (round your answer to the nearest whole number, no decimals).

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