Nonlinear Data, Nonlinear Regression, Polynomial Regression, Data Transformation, Multivariate Regression.
(Author Image) So In this section, we transformed the data itself. Knowing that feature time_study is not linearly dependent with Marks, we created a new feature called time_study_squared, which was linearly dependent with Marks. Then we built a SLR model again and validated all the assumptions of