Nonlinear Data, Nonlinear Regression, Polynomial Regression, Data Transformation, Multivariate Regression.
get better with a non-linear regression model. The problem is more with the assumptions behind the linear regression model. SLR Assumption 1: Homoscedasticity Homoscedasticity means that the residuals have equal or almost equal variance across the regression line. By plotting the error terms with