Nonlinear Data, Nonlinear Regression, Polynomial Regression, Data Transformation, Multivariate Regression.
significant improvement over the previously built SLR model on the raw dataset (without any data transformation). We got a R2-Square Value of 99.9% as opposed to 94%. Now, we’ll validate the various assumptions of an SLR model to see if it’s a good fit. All assumptions of a SLR model is Validated