Tag: regression residuals
Differences in Assumptions of Normality, Heteroscedasticity, and Multicollinearity in Linear Regression Analysis
If you analyze research data using linear regression, it is crucial to understand the required assumptions. Understanding these assumption tests is essential to ensure consistent and unbiased analysis results.
How to Find Residual Value in Multiple Linear Regression using Excel
Residual values in linear regression analysis can be used to test for normality. In addition, the heteroscedasticity test also requires the variance value of the residual. Therefore, the residual value is important in the linear regression assumption test with the Ordinary Least Square (OLS) method.