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Interpreting regression models Customer service expense A company that develops and maintains websites for businesses wants to develop estimates of how much developer time is required to maintain customer websites. The dependent variable for the regression model is developer time per page on a customer's site (in hundreds of hours, 00) The independent variables are number of years the client has been a customer of the company whether the website includes a payment portal (1 = yes, 0 = no) company size (annual revenue in millions of dollars--$000,000) = The model is below. Hours = 6.38 - .47 (customer years) + 1.14 (if payment portal) - .16 (annual revenue) R = .41, R2 = .17 = Interpret the meaning of the intercept and the three slope coefficients. Interpret the model fit. Interpreting regression models Customer service expense A company that develops and maintains websites for businesses wants to develop estimates of how much developer time is required to maintain customer websites. The dependent variable for the regression model is developer time per page on a customer's site (in hundreds of hours, 00) The independent variables are number of years the client has been a customer of the company whether the website includes a payment portal (1 = yes, 0 = no) company size (annual revenue in millions of dollars--$000,000) = The model is below. Hours = 6.38 - .47 (customer years) + 1.14 (if payment portal) - .16 (annual revenue) R = .41, R2 = .17 = Interpret the meaning of the intercept and the three slope coefficients. Interpret the model fit