In linear regression, which of the following is most true of p values of the predictor variables? 1) a large p value means the predictor variable is more significant 2) p values for multiple predictors tend to be pretty much the same as each other 3) a small p value means a higher probability that the predictor variable's coefficient is not zero 4) p values must be chosen before fitting a linear model to the data