Let's say you are trying to predict income and you have 1,000 predictors of income, with no idea of which might be good predictors and bad predictors. If you put all 1,000 in your model, what can you look at that will help you identify whether your model is incorporating at least a few useful variables?

Group of answer choices

aThe Total Sum of Squares

bThe intercept

cThe F Statistic