Beer and blood alcohol content: Many people believe that gender, weight, drinking habits, and many other factors are much more important in predicting blood alcohol content (BAC) than simply considering the number of drinks a person consumed. Here we examine data from sixteen student volunteers at Ohio State University who each drank a randomly assigned number of cans of beer. These students were evenly divided between men and women, and they differed in weight and drinking habits. Thirty minutes later, a police officer measured their blood alcohol content (BAC) in grams of alcohol per deciliter of blood (Malkevitcand Lesser, 2008). The scatterplot and regression table summarize the findings. 0.15 BAC (grams per deciliter) 0.10- 0.05 2 4 6 8 Cans of beer Estimate Std. Error tvalue P(It) (Intercept) -0.0127 0.0126 -1.00 0.3320 beers 0.0180 0.0024 7.48 0.0000 (a) Describe the relationship between the number of cans of beer (x) and BAC (y) weak, positive O weak,negative O moderate/strong, negative O moderate/strong, positive (b) Write the equation of the regression line. Interpret the slope and intercept in context. The equation of the regression line is (please do not round): y = + z The interpretation of the slope is: For each additional can of beer, BAC is expected to decrease by about .0127 O For each additional can of beer, BAC is expected to increase by about .0127 O For each additional can of beer, BAC is expected to decrease by about .018 O For each additional can of beer, BAC is expected to increase by about .018 (c) Do the data provide strong evidence that drinking more cans of beer is associated with an increase in blood alcohol? State the null and alternative hypotheses, report the p-value, and state your conclusion. The hypotheses are: OHo: B = 0 Ha : B # 0 OH: B = 0 Ha : B > 0 OHo: B = 0 Ha : B