Assume I have a set of data and would like o apply multiple linear regression. As we know multiple linear regression has assumptions such independent variables shouldn't be highly correlated (coefficient <0.8). My question is what to do when assumptions dont hold? Apply nonlinear regressin? If so, how to decide which form to apply?