Regression, Regression Analysis, Linear Regression, Machine Learning, Data Science.
should be linear. This means that a change in X will result in a proportional change in Y. Independence: The observations should be independent of each other. No correlation or autocorrelation should exist between observations. Homoscedasticity: The variance of the error term ε should be constant