have to be in adjacent columns in Excel). Look at each set of results critically and consi how you would interpret the strengths and weaknesses of each model. Save your results fr each model for use when completing the end-of-module assessment. Use "Robbery" as y dependent variable in each model. The notation f(X, Y, Z) means "a function of X, Y, Z; i X, Y, and Z are your independent variables. Even though it isn't listed, each model v include an intercept. NOTE: when Excel reports a value like 2.4E-06, this is scienti notation for 2.4 * (104-6), or 0.0000024. Model A: Robbery = f(%Metro, %Poverty, Rain) Model B: Robbery = f(Population, %SameHouse, MedianAge) Model C: Robbery = f(Population, %SameHouse, MedAgeMale) Model D: Robbery = f(Population, %SameHouse, MedAgeFemale) Model E: Robbery = f(CarTheft, %Unemploy, %Bachelors+, Temp) Model F: Robbery = f(CarTheft, %Unemploy, %Bachelors+, Sun) Model G: Robbery = f(CarTheft, %Unemploy, %Bachelors+, Rain) The state of South Iowa currently has a robbery rate of 77.5, a 186.3 CarTheft rate "%Unemploy" rate of 3.7 (be sure to use 3.7 consistent with the underlying data, not 3.7% 0.037; be careful of the units on all the variables), a "%Bachelors+" rate of 34.1%, and average annual temperature of 57.8. Recent economic changes have led to the unemploym rate rising to 4.6. This change will likely be associated with the Robbery rate changing fr about 77.5 robberies (per 100,000 inhabitants) to about _ robberies