Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports Crash Fatality Rate 231 15.8 265 15.7 359 15.5 482 531 14.8 15.2 What are the null and alternative hypotheses? OA. Ho: p0 O B. Ho: p=0 H:p<0 H:p=0 OC. Ho: p=0 Hp: p#0 OD. Ho: p=0 H,: p>0 Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. OD. 17- Ay 17- 174 17- 16- 16 16- 16- 15- 15- 15 15- 14+ 14- 14 14- 200 400 600 200 400 60 200 400 600 200 400 600 The linear correlation coefficient is r= (Round to three decimal places as needed.) The test statistic is t= (Round to three decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there V sufficient evidence to support the claim that there is a linear correlation between lemon imports and crash fatality rates for a significance level of a=0.05. . Do the results suggest that imported lemons cause car fatalities? O A. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. O B. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. Oc. The results suggest that imported lemons cause car fatalities. OD. The results do not suggest any cause-effect relationship between the two variables.