Answer Happy

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 scatherplot find the value of the linear correlation coefficient r, and find the Pivalue using a 0.05 Is there sufficient evidence to conclude that there is a linear correlation between tomon imports and crash tatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 230 264 350 483 531 Crash Fatality Rate 14.8 15.9 15.7 15.5 152
What are the null and alternative hypotheses? OA. Ho: p=0 H₁: p<0 ỌC. Hon=o H₁: p>0 OB. Ho: p*0 H₁: p=0 OD. Ho: p=0 H₁: p=0
Construct a scatterplot Choose the correct graph below OA OB. IN IN 10- 104 15 15 144 10 Ax 400 200 600 5 200 400 000 Q a G Oc IN 10 154 14- ** 0 PHI 200 400 000 ddu OD 241 18 16 154 14 200 400 000 ddo
The linear correlation coefficient is r (Round to three deomal 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 significance level of it 0.05. than the significance level 0.05, there sufficient evidence to support the claim that there is a inear correlation between lemor imports and crash tatality rates for a
sufficient evidence to support the claim that there is a linear correlation befwoon lemon imports and crash fatality ratos for a than the significance level 0.05, there Because the P-value is significance level of a=0.05 Do the results suggest that imported lemons cause car fatalities? OA The results suggest that an increase in imported lemons causes in an increase in car fatality rates OB. The results do not suggest any cause-effect relationship between the two variables OC. The results suggest that imported lemons cause car fatalities OD. The results suggest that an increase in imported lemons causes car fatality rates to remain the same.