Listed below are annual data for various years. The data are weights (metric ton

Question

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 o 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 231 266 358 483 530 Crash Fatality Rate 15.8 15.6 15.4 15.33 14.9 What are the null and alternative hypotheses? O A. Ho: p 0 CO B. Ho: p 0 H1: p 0 Construct a scatterplot. Choose the correct graph below. O A. OB. O C. OD od 200 400 600 200 400 600 200 400 600 200 400 600 The linear correlation coefficient ris (Round to three decimal places as needed.) The test statistic t is (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value is Y than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between lemon imports and crash fatality rates for a significance level of o 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 imported lemons cause car fatalities. O C. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. O D. The results do not suggest any cause-effect relationship between the two variables

Explanation / Answer

Null and Alternative hypotheses: Option B

Graph: Option D

r = -0.944

t = -4.963

P - value = 0.016

Less; is

Option D

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