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 "Burglary" as your dependent variable in each model. The notation f(X,Y,Z) means "a function ofX,Y,Z; i.e.,X,Y, andZare 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: Burglary = f(Assault, Population, %Poverty)

Model B: Burglary = f(%Unemploy, Rain, %young)

Model C: Burglary = f(%Unemploy, Rain, %youngmale)

Model D: Burglary = f(%Unemploy, Rain, %youngfemale)

Model E: Burglary = f(PerCapIncome, %Bachelors, %Metro, Rain)

Model F: Burglary = f(PerCapIncome, % Bachelors, %Metro, Temp)

Model G: Burglary = f(PerCapIncome, % Bachelors, %Metro, Sun)

The state of East Iowa currently has an unemployment rate of 4.2%, 38 inches of average annual rainfall, and a % young male rate of 16.2%. Recent economic changes have led to the unemployment rate increasing to 5.7%. This change will likely be associated with the burglary rate changing from about 80,605 burglaries (per 100,000 inhabitants) to about ___ burglaries.

"please use link for state crime excel sheet"

https://moodle.lsus.edu/mod/resource/view.php?id=511441