Question 4: 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 "Larceny" 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: Larceny = f(%Bachelors, %Metro, %SameHouse) Model B: Larceny = f(PerCapIncome, Sun, MedianAge) Model C: Larceny = f(PerCapincome, Sun, MedianAgeMale) Model D: Larceny = f(PerCapincome, Sun, MedianAgeFemale) Model E: Larceny = f(%Poverty, %Unemploy, CarTheft, Rain) Model F: Larceny = f(%Poverty, %Unemploy, CarTheft, Temp) Model G: Larceny = f(%Poverty, %Unemploy, CarTheft, Sun) The state of West Dakota currently has a per capita income of $42, 100, 84 sunny days per year, and a median male age of 38.7. The state suddenly experiences a boom in its per capita income, increasing to $44,600. This change will likely be associated with the larceny rate changing from about 1,724 annual larcenies (per 100,000 inhabitants) to about annual larcenies (round your answer to the nearest whole number, no decimals). Answer: Steps of Construction, Click on Data->Data Analysis. Select Regression from the list. Enter Y variable and X variables range. Select New Worksheet Ply: and give Model Name. Click OK