3.Part III: In this analysis, we will use a regression model to assess the association of: . Total serum cholesterol (dependent variable) and total carbohydrate intake (Model I). . Total serum cholesterol (dependent variable) and total fat intake (Model II). (a) Examine the data distribution to evaluate if additional data processing (e.g., removing of outliers, data transformation) is needed before you t the regression model. Describe what data processing you perform. Perform any initial exploratory analyses you feel are required before tting the regression. (b) Fittne regression model in Stata, and copy and paste the regression results for your nal models into your report and label them as Table 2 (Model I) and Table 3 (Model II) in the Appendix. (c) Evaluate model t by examining the residuals and describing the model t. Include any necessary graphs to support the conclusion you make in the Appendix (4 graphs max for this section). (d) Summarize the key results from your regression models and your assessment of model t in the body of the report