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 (106.54 KiB) Viewed 24 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? Lemon Imports 531 Crash Fatality Rate 230 15.9 266 15.6 358 15.5 480 15.3 14.8 What are the null and alternative hypotheses? O A. Ho: p=0 H:p#0 OB. Hop#0 H: p=0 OC. Ho: P=0 H:p<0 OD. Ho: p= 0 Hy:p> Construct a scatterplot. Choose the correct graph below. OA. ОВ. OC. OD Ау 17+ AY 17- Q Q AY 17- a AY 17-1 . lo a 16 . Q a 16- 16- o 16 16- to 10 fo O ol . 0 15 15- 15 15- T O . ota 14- 14- ta + 600 14- 0 14+ 0 200 600 200 400 400 200 400 200 400 600 600 The linear correlation coefficient is r= (Round to three decimal places as nedided.) 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 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.