The linear correlation coefficient is r= -.970 (Round to three decimal places as needed.) The test statistic is t= - 6.936. (Round to three decimal places as needed.) The P-value is .006 . (Round to three decimal places as needed.) Because the P-value is less than the significance level 0.05, there is 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. Do the results suggest that imported lemons cause car fatalities? A. The results do not suggest any cause-effect relationship between the two variables. B. The results suggest that imported lemons cause car fatalities. C. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates.

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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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The linear correlation coefficient is r= - .970 .
(Round to three decimal places as needed.)
The test statistic is t= - 6.936
(Round to three decimal places as needed.)
The P-value is .006 .
(Round to three decimal places as needed.)
Because the P-value is
less
than the significance level 0.05, there
is
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.
Do the results suggest that imported lemons cause car fatalities?
A. The results do not suggest any cause-effect relationship between the two variables.
B. The results suggest that imported lemons cause car fatalities.
C. The results suggest that an increase in imported lemons causes car fatality rates to remain the same.
D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates.
Transcribed Image Text:The linear correlation coefficient is r= - .970 . (Round to three decimal places as needed.) The test statistic is t= - 6.936 (Round to three decimal places as needed.) The P-value is .006 . (Round to three decimal places as needed.) Because the P-value is less than the significance level 0.05, there is 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. Do the results suggest that imported lemons cause car fatalities? A. The results do not suggest any cause-effect relationship between the two variables. B. The results suggest that imported lemons cause car fatalities. C. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates.
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
Crash Fatality Rate
229
264
358
484
533
15.8
15.7
15.5
15.3
14.9
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? Lemon Imports Crash Fatality Rate 229 264 358 484 533 15.8 15.7 15.5 15.3 14.9
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