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1. For each of the independent variables listed in part 1, paste a screenshot of its residual plot against the dependent variable Y here in

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1. For each of the independent variables listed in part 1, paste a screenshot of its residual plot against the dependent variable Y here in your project document. 2. Review the residual plots and determine which, if any, suggest a nonlinear relationship with the dependent variable. List suspected nonlinear variables in the table below. 3. Use the Semilog and Log-log Transforms tool to create a transform scatterplot for each independent variable listed. and include screenshots of the plots in the table. 4. List the independent variables with nonlinear relationships. Possible nonlinearities Independent Transform used Screenshot of transform plot variable (log or semilog) Addressing Multicollinearity 1 Create a correlation table for your independent variables. Paste a screenshot of your correlation table here. 5. Determine if there are independent variables that may be sources of multicollinearity. List them here with an explanation of why you think they might be a source of multicollinearity

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