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

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Listed Below Are Annual Data For Various Years The Data Are Weights Metric Tons Of Imported Lemons And Car Crash Fata 1 (72.51 KiB) Viewed 36 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? 230 Lemon Imports Crash Fatality Rate 264 357 15.7 15.4 483 534 P 15.2 14.8 15.9 come What are the null and alternative hypotheses? OA. Ho: p*0 OB. Ho: p=0 H₁: p<0 H₁: p=0 ỌC. Hop=0 OD. Ho: p=0 H₁: p>0 H₁: p=0 Construct a scatterplot. Choose the correct graph below. A. B. OC. 174 Q 16- 15 14- AY Ay 6° 174 16- 15 14- % a do 17- 16 154 14- 200 400 000 0 200 O 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.) than the significance level 0.05. there Because the P-value is 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 fatalitios? A. The results suggest that an increase in imported lomons causes in an increase in car fatality rates. OB. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. OC. The results do not suggest any cause-offect relationship between the two variables. OD. The results suggest that imported lemons cause car fatalitios Q 400 000 O Ay 553 o O OD. 174 16- 530 10 14- °F 10 O 0 0 6 200 400 000 0 200 400 000 sufficient evidence to support the claim that there is a d Q 253