Which of the following is not recommended in selecting the correct set of independent variables for multiple regression? Multiple Choice None of the options are correct. ο R-squared ο Bayesian Information Criterion ο Adjusted R-squared Ο Akaike Information Criterion First-differencing the data is a way to Multiple Choice Ο remove heteroscedasticity from the data. Ο reseasonalize the data. Ο detrend the data. Ο remove any data nonlinearities