Answer the following questions as related to OLS Regression,…
Answer the following questions as related to OLS Regression, Binary Logistic Regression, and Cumulative Logistic Regression. What are the assumptions associated with each model? How do you decide which model is appropriate to use given a research question? How would you evaluate model fit and appropriateness? Using this table, provide a statistical interpretation for how you would interpret coefficients related to the independent variables for each model: binary (i.e., medical = Major Medical Expense last 12 months) categorical (i.e., credit = Credit Rating) continuous (i.e., age = Age). *Please note the linearity assumption was tested and confirmed to be valid. Please translate your findings for a practitioner audience highlighting key takeaways without using technical jargon.
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