Download the "Soft Drink Consumption" Excel sheet; row 1 gives detailed descriptions of each variable, while row 3 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 "Consumption of Soft Drinks per Capita" 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: SoftDrinks = f(PerCapInc, MeanTemp, %Obese)

Model B: SoftDrinks = f(FoodServices, Dentists, %TotSmoke)

Model C: SoftDrinks = f(FoodServices, Dentists, %MaleSmoke)

Model D: SoftDrinks = f(FoodServices, Dentists, %FemaleSmoke)

Model E: SoftDrinks = f(2020Pop, Physic, FoodServices, PerCapInc, %TotSmoke)

Model F: SoftDrinks = f(2020Pop, Physic, FoodServices, PerCapInc, %TotSmoke, MeanTemp)

Model G: SoftDrinks = f(2020Pop, Physic, FoodServices, PerCapInc, %TotSmoke, MeanTemp, %Obese)

The state of North Arizona had 11,450 food service business in 2017, a dentist rate of 0.84 per 1000 people, and a total smoker percentage of 17.6. Recent changes in public health policy have led to the total smoker percentage dropping to 15.4. This change will likely be associated with the SoftDrinks rate changing from about 116.2 soft drinks consumed per capita to about ___ soft drinks consumed per capita.