Acme Solar Systems wants to discover the characteristics of those who intend to install solar energy systems in their homes.
Data set: Ch 13 – Exercise 02A.sav
Codebook
Variable: Install
Definition: [Outcome] Does this customer intend to install a solar energy system within the next 12 months?
Type: Categorical 0 = Will not install solar energy
1 = Will install solar energy [←BASIS FOR MODEL]

Variable: Age
Definition: [Predictor] Age
Type: Continuous
Variable: Gender
Definition: [Predictor] Gender
Type: Categorical 0 = Female [←REFERENCE]
1 = Male
Variable: Income
Definition: Annual household income
Type: Continuous
Variable: Neighborhood
Definition: [Predictor] Type of neighborhood
Type: Categorical 0 = Urban [←REFERENCE]
1 = Rural
Variable: Family
Definition: Number of people living in the household
Type: Continuous

a. Write the hypotheses.
b. Run each criterion of the pretest checklist (sample size, normality, multicollinearity) and discuss your findings.
c. Run the logistic regression analysis and document your findings (odds ratios and Sig. [p value], hypotheses resolution).
d. Write an abstract under 200 words detailing a summary of the study, the logistic regression analysis results, hypothesis resolution, and implications of your findings.