Linear Regression, Logistic Regression, Supervised Learning, Regression, Machine Learning.
these assumptions, so it is more robust to violations of these assumptions. Interpretation of the coefficients: In linear regression, the coefficients represent the change in the dependent variable that is associated with a one-unit change in the independent variable, holding all other variables