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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? 484 534 Lemon Imports Crash Fatality Rate 229 15.8 266 15.7 359 15.5 15.3 14.8 What are the null and alternative hypotheses? OA. Ho: p=0 H₁: p<0 OC. Ho: p=0 H₁: p#0 Construct a scatterplot. Choose the correct graph below. O A. Ay 17+ 16 15 14+ 0 o 200 400 600 Q G 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.) O B. 17+ 16 15 AY 14- A than the significance level 0.05, there 0 % T 200 400 600 The P-value is (Round to three decimal places as needed.) Because the P-value is Do the results suggest that imported lemons cause car fatalities? OA. The results do not suggest any cause-effect relationship between the two variables. Q G Com OB. Ho: p=0 H₁: p>0 OD. Ho: p*0 H₁: p=0 OC. AY 17-I 16 ||||||| 15- 14- 14% 1111:11 % L do 200 400 600 G O D. Ay 16 -³ 174 15- 14+ " ° 0 a 0 200 400 600 Q Q G 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.

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? 484 534 Lemon Imports Crash Fatality Rate 229 15.8 266 15.7 359 15.5 15.3 14.8 What are the null and alternative hypotheses? OA. Ho: p=0 H₁: p<0 OC. Ho: p=0 H₁: p#0 Construct a scatterplot. Choose the correct graph below. O A. Ay 17+ 16 15 14+ 0 o 200 400 600 Q G 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.) O B. 17+ 16 15 AY 14- A than the significance level 0.05, there 0 % T 200 400 600 The P-value is (Round to three decimal places as needed.) Because the P-value is Do the results suggest that imported lemons cause car fatalities? OA. The results do not suggest any cause-effect relationship between the two variables. Q G Com OB. Ho: p=0 H₁: p>0 OD. Ho: p*0 H₁: p=0 OC. AY 17-I 16 ||||||| 15- 14- 14% 1111:11 % L do 200 400 600 G O D. Ay 16 -³ 174 15- 14+ " ° 0 a 0 200 400 600 Q Q G 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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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? 484 534 Lemon Imports Crash Fatality Rate 229 15.8 266 15.7 359 15.5 15.3 14.8 What are the null and alternative hypotheses? OA. H₂: p=0 H₁: p<0 OC. Ho: p=0 H₁: po Construct a scatterplot. Choose the correct graph below. O A. 17 16 15 AY + 14+ o 0 200 400 600 Q Q G 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.) O B. Ay 17+ 16- 15- 14- 7 0 than the significance level 0.05, there % 200 400 600 The P-value is (Round to three decimal places as needed.) Because the P-value is Do the results suggest that imported lemons cause car fatalities? OA. The results do not suggest any cause-effect relationship between the two variables. Q Q G C OB. Ho: p=0 H₁: p>0 OD. Ho: p*0 H₁: p=0 OC. Ay 17+ 16- ܕ 15 14+ HHHH ▬▬▬▬▬ % do 6 200 400 600 G O D. Aу 17- 16 :|||||||* 15- 14+ 0 H °. C M o do 200 400 600 Q C 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.
Transcribed Image Text: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? 484 534 Lemon Imports Crash Fatality Rate 229 15.8 266 15.7 359 15.5 15.3 14.8 What are the null and alternative hypotheses? OA. H₂: p=0 H₁: p<0 OC. Ho: p=0 H₁: po Construct a scatterplot. Choose the correct graph below. O A. 17 16 15 AY + 14+ o 0 200 400 600 Q Q G 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.) O B. Ay 17+ 16- 15- 14- 7 0 than the significance level 0.05, there % 200 400 600 The P-value is (Round to three decimal places as needed.) Because the P-value is Do the results suggest that imported lemons cause car fatalities? OA. The results do not suggest any cause-effect relationship between the two variables. Q Q G C OB. Ho: p=0 H₁: p>0 OD. Ho: p*0 H₁: p=0 OC. Ay 17+ 16- ܕ 15 14+ HHHH ▬▬▬▬▬ % do 6 200 400 600 G O D. Aу 17- 16 :|||||||* 15- 14+ 0 H °. C M o do 200 400 600 Q C 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.
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