1. How well does the number of beers a student drinks predicts his or her blood alcohol content (BAG)? [Note: BAC is measured in tenths of one percent: so BAC of 1 means that the blood alcohol content is 0.10%.] To answer this question, researcher perform a random (and appropriately randomized) experiment on the drinking habits of college students. Since the number of beers consumed and BAC appear to be linearly related based on those data, the researchers t a simple regression model. You are asked to help them with the inference. You are provided with the following statistics: (mean of beers) E = 4.81 (SD of beers) SE = 2.2 (X sum of squares) SSX = 25(351 E)2 = 72.44 (mean of BAC) E = 7.37 (SD of BAC) sy = 4.41 (Y sum of squares) SST = Edy; if = 292.25 (sample size) n = 16 Parts (a), (b) and (c) ask you to ll in some missing numbers. Note that information in one table can help you with lling in another table. (a) [5 points] Fill in the missing numbers in the table below. For p-va.lucl, write down 0.05. Show your work in the empty spece. Estimate Std. error t-statistic two-sided p-value Intercept 1.26 ........ Beers 1.8 7.48