Homework Help is Here – Start Your Trial Now!
Math
Statistics
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? 228 266 359 483 532 Lemon Imports Crash Fatality Rate 15.9 15.6 15.5 15.2 14.8 What are the null and alternative hypotheses? OA. Ho: p=0 OB. Ho: p=0 H₁: p=0 H₁: p<0 OC. Ho: p *0 OD. Ho: p=0 H₁: p=0 H₁: p>0 Construct a scatterplot. Choose the correct graph below. OA. O C. O D. Q 171 17- AY 17 Q 17- 16- Q 16- Q 15- 15- G 14 14- AY OB. AY 17- 16 15- 14 14+ H Q Q C tot o AY • a 1x 6 200 400 600 0 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.) Because the P-value is than the significance level 0.05, there Do the results suggest that imported lemons cause car fatalities? OA. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. OB. The results suggest that imported lemons cause car fatalities. OC. The results do not suggest any cause-effect relationship between the two variables. O D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. H+ 16- too 15- 19 0 x X 14- 0 200 400 600 0 200 400 600 200 400 600 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. o 0 ++ G H 392 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ·* 0

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? 228 266 359 483 532 Lemon Imports Crash Fatality Rate 15.9 15.6 15.5 15.2 14.8 What are the null and alternative hypotheses? OA. Ho: p=0 OB. Ho: p=0 H₁: p=0 H₁: p<0 OC. Ho: p *0 OD. Ho: p=0 H₁: p=0 H₁: p>0 Construct a scatterplot. Choose the correct graph below. OA. O C. O D. Q 171 17- AY 17 Q 17- 16- Q 16- Q 15- 15- G 14 14- AY OB. AY 17- 16 15- 14 14+ H Q Q C tot o AY • a 1x 6 200 400 600 0 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.) Because the P-value is than the significance level 0.05, there Do the results suggest that imported lemons cause car fatalities? OA. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. OB. The results suggest that imported lemons cause car fatalities. OC. The results do not suggest any cause-effect relationship between the two variables. O D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. H+ 16- too 15- 19 0 x X 14- 0 200 400 600 0 200 400 600 200 400 600 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. o 0 ++ G H 392 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ·* 0

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
See similar textbooks
icon
Related questions
Question
100%

need help with everything from test statistic and onward.

Thx!

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 \( \alpha = 0.05 \). 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 (metric tons) | Car Crash Fatality Rate (per 100,000 population) | |-----------------------------|-----------------------------------------------| | 228 | 15.9 | | 266 | 15.6 | | 359 | 15.5 | | 483 | 15.2 | | 532 | 14.8 | ### Hypothesis Testing **What are the null and alternate hypotheses?** - A. \( H_0: \rho = 0 \) \( H_1: \rho < 0 \) - B. \( H_0: \rho = 0 \) \( H_1: \rho \ne 0 \) - **C. \( H_0: \rho \ne 0 \) \( H_1: \rho = 0 \)** - D. \( H_0: \rho = 0 \) \( H_1: \rho > 0 \) ### Scatterplot Construction **Construct a scatterplot. Choose the correct graph below.** - **A.** ![Graph A](scatterplot_A.png) - B. ![Graph B](scatterplot_B.png) - C. ![Graph C](scatterplot_C.png) - D. ![Graph D](scatterplot_D.png) ### Calculation Details 1. **The linear correlation coefficient \( r \) is:** 2. **The test statistic \( t \) is:** 3. **The P-value is:** ### Conclusion Because the P-value is \( < / \ge / > \) than the significance level 0.05, there \( is / is not \) sufficient evidence to support the claim that there is a linear correlation between lemon imports and crash fatality rates for a significance level of \( \alpha = 0.05 \). ### Interpretation Do the results suggest that imported lemons cause car fatalities?
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 \( \alpha = 0.05 \). 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 (metric tons) | Car Crash Fatality Rate (per 100,000 population) | |-----------------------------|-----------------------------------------------| | 228 | 15.9 | | 266 | 15.6 | | 359 | 15.5 | | 483 | 15.2 | | 532 | 14.8 | ### Hypothesis Testing **What are the null and alternate hypotheses?** - A. \( H_0: \rho = 0 \) \( H_1: \rho < 0 \) - B. \( H_0: \rho = 0 \) \( H_1: \rho \ne 0 \) - **C. \( H_0: \rho \ne 0 \) \( H_1: \rho = 0 \)** - D. \( H_0: \rho = 0 \) \( H_1: \rho > 0 \) ### Scatterplot Construction **Construct a scatterplot. Choose the correct graph below.** - **A.** ![Graph A](scatterplot_A.png) - B. ![Graph B](scatterplot_B.png) - C. ![Graph C](scatterplot_C.png) - D. ![Graph D](scatterplot_D.png) ### Calculation Details 1. **The linear correlation coefficient \( r \) is:** 2. **The test statistic \( t \) is:** 3. **The P-value is:** ### Conclusion Because the P-value is \( < / \ge / > \) than the significance level 0.05, there \( is / is not \) sufficient evidence to support the claim that there is a linear correlation between lemon imports and crash fatality rates for a significance level of \( \alpha = 0.05 \). ### Interpretation Do the results suggest that imported lemons cause car fatalities?
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 1 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS