QUESTION 1 [Topic: regression, R-squred & adjusted Rsquared] Every time you add a predictor (x variable) to a model, the R-squared . even it due to chance alone. It never . Consequently, a model with more terms may appear to have a better fit simply because it has more terms. 0 incerases. decreases 0 decreases. increases QUESTION 2 The adjusted Risquared is a modied version of Risquared that has been adjusted for the number of predictors ( x variabies) in the model. It is often used to compare the explanatory power of regression models that contains dierent number of predictors. The adjusted Rsquared only if the new term improves the model more than would be expected by chance. It when a predator improves the model by less than expected by chance. 0 incerases. decreases 0 decreases. increases