Statistics, Regression, Data Science, Machine Learning, AI.
the dependent variable. 2. There should be little to no multicollinearity in the data. That is, the independent variables should not be too highly correlated with each other. 3. The observations should be independent of each other. 4. The residuals — errors between the predicted values and the true