12/31/2023 0 Comments Excel regression tool![]() Hypothesis tests and confidence intervals for the intercept and coefficients are quite forgiving even if your regression model does not meet the normality test. Can we use the Regression Model if the Underlying Assumptions of Regression Analysis are not met? If Yes, When? Instead, seek out other tests to understand the data and relationships you are seeking. You should generally NOT use the regression model to make inferences or predictions if the underlying assumptions of regression analysis are not met. Therefore, it is important to understand the underlying assumptions of regression analysis and modeling. And part of evaluating your regression model is knowing and testing if the underlying assumptions of regression analysis hold true. You evaluate your regression model before you make inferences or predictions. Why is it Important to Understand the Assumptions of Regression Analysis? We can sum up these assumptions in a single sentence: the regression errors are independent and are normal random variables with a mean of zero and constant variance.
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