11.32 Considering the log transformation. Refer to Exercise 11.29. Variables like income often have very skewed distributions. This can result in certain cases strongly influencing the fit of the model. A common remedy is to take the log before analysis. Create a new response variable by taking the log of U.S. Revenue and fit the model using all four predictors. Obtain the residuals and assess the model conditions. Do these data fit the linear regression model better than the untransformed data? Explain your answer.