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 "PropCrime" 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: PropCrime = f(PerCapIncome, %SameHouse, %young)

Model B: PropCrime = f(Robbery, %Unemploy, MedianAge)

Model C: PropCrime = f(Robbery, %Unemploy, MedAgeMale)

Model D: PropCrime = f(Robbery, %Unemploy, MedAgeFemale)

Model E: PropCrime = f(%Metro, %Bachelors+, %Poverty, Temp)

Model F: PropCrime = f(%Metro, %Bachelors+, %Poverty, Sun)

Model G: PropCrime = f(%Metro, %Bachelors+, %Poverty, Rain)

The state of East Maryland currently has a property crime rate of 1,896.8, a 91.4% metro rate (be sure to use 91.4% or 0.914, not 91.4; be careful of the units on all the variables), a "%Bachelors+" rate of 38.6%, a poverty rate of 9.6, and about 112 sunny days per year. Recent economic changes have led to the poverty rate declining to 9.1. This change will likely be associated with the PropCrime rate changing from about 1896.8 property crimes (per 100,000 inhabitants) to about ___ property crimes.