Logistic regression will be used to predict whether homeowners will take or decline a solar panel offer based on household income, monthly mortgage, and other variables. The dependent variable is dichotomous (take offer=1, decline offer=0). Independent variables include household income and monthly mortgage. The research question is whether these two variables can predict taking or declining the offer. Logistic regression is appropriate because it can handle dichotomous dependent variables and makes no assumptions about the distributions of predictor variables. The model will be assessed to test if it is a good fit for the data.