Linear Regression, Statistical Analysis, Data Science, Machine Learning, Data Analysis.
Independence Each observation is independent of one another. 3. Homoscedasticity (aka. homoskedasticity) The variance of the errors is constant across different independent variables. 4. Normality The errors are normally distributed and are centered around zero. Checking the 1st assumption: