Tag: Heteroscedasticity
Testing and Interpreting Homoscedasticity in Simple Linear Regression with R Studio
Homoscedasticity is a crucial assumption in ordinary least square (OLS) linear regression analysis. This assumption refers to the consistent variability of regression residuals across all predictor values. Homoscedasticity assumes that the spread of residual regression errors remains relatively constant along the regression line.