Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fata

[answerhappygod]

Listed Below Are Annual Data For Various Years The Data Are Weights Metric Tons Of Imported Lemons And Car Crash Fata 1 (55.59 KiB) Viewed 28 times

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? 228 266 359 483 532 Lemon Imports Crash Fatality Rate 15.9 15.7 15.5 15.2 14.9 GELE What are the null and alternative hypotheses? OA. Ho: p=0 OB. Ho: p=0 H₁: p>0 H₁: p<0 O6, Hoi DHO OD. Ho: p=0 H₁: p=0 H₁:p*0 Construct a scatterplot. Choose the correct graph below. OA. B. O C. D. Ay AY Ay Q 174 174 16 16- 15- 15 144 14- 174 16- 15 14- 0 200 400 600 200 400 600 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 than the significance level 0.05, there lemon imports and crash fatality rates for a significance level of a = 0.05. Do the results suggest that imported lemons cause car fatalities? OA. The results do not suggest any cause-effect relationship between the two variables. B. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. OC. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. OD. The results suggest that imported lemons cause car fatalities. o E . 6 o O 0 200 400 600 0 200 400 600 sufficient evidence to support the claim that there is a linear correlation between 174 16- 10 15 14+ E