2) After you run a bivariate regression of Y on X on a dataset with n=10,000, you see that the t-statistic for your predictor X is 3.05. You have set your alpha to be 0.05 and you know that the t-critical is 1.96 with this sample size and alpha level. What can you conclude? a. The regression coefficient for X is significantly different from 0. b. The variable X explains 3.05% of the variance in Y ____c. The p-value associated with the regression coefficient for X is less than 0.05. d. We can be 95% confident that there is a non- zero relationship between X and Y. ___ e. The 95% confidence interval will include zero