Regression Analysis, Linear Regression, Business Analytics, Data Analytics, Data Science Projects.
Observations are independent of each other. 3. Homoscedasticity: The variance of the residuals is constant across all levels of the predictors. 4. Normality: The residuals of the model are normally distributed. 5. Absence of multicollinearity: In multiple regression, the predictor variables are not