Question 1:

In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significance level to test the claim of independence between texting while driving and driving when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. . . . . . Determine the null and alternative hypotheses. Ho H1: Determine the test statistic. x2 =(Round to two decimal places as needed.) Determine the P-value of the test statistic. P-value = (Round to three decimal places as needed.) Do the results suggest that texting while driving and driving while drinking are related? O A. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. O B. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. O C. Reject the null hypothesis. There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. Those two risky behaviors appear to be somehow related. O D. Fail to reject the null hypothesis. There is not sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. Those two risky behaviors are not related.\fSuppose the correlation coefficient is 0.9. The percentage of variation in the response variable explained by the variation in the explanatory variable is . . . . . O A. 0.81% O B. 81% O C. 8.1% O D. 0.90% O E. 0% OF. 9% O G. 90% O H. none of the other answers