Assumption

In linear regression analysis, one of the fundamental assumptions is that the residuals, or errors, are normally distributed. This assumption is important because it allows researchers and analysts to make valid statistical inferences using hypothesis tests and confidence intervals. When the assumption of normality is violated, the results of the regression can become unreliable, especially … Read more