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? 266 534 Lemon Imports Crash Fatality Rate 229 15.8 359 15.5 15.7 14.8 OC. Ho: p=0 H₁: p*0 Construct a scatterplot. Choose the correct graph below. SOA. 17+ AY 16- 15 14+ o 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.) OB. 17- 16 AY 15 14- +++ % HHH ▬▬▬ 31, 200 400 600 Q 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 do not suggest any cause-effect relationship between the two variables. OB. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. OC. The results suggest that imported lemons cause car fatalities. OD. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. 484 15.3 OD. Ho: PO H₁: p=0 OC. AY 174 16- 15 14- " HHHHH ³|||||| ||||||$ do ifs 200 400 600 Q Q O D. AY 17+ $.$.$. 16 15 14- H||||| 0² HTT·lts |||||||$S 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.

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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
OC. Ho: p=0
H₁: p=0
Construct a scatterplot. Choose the correct graph below.
O A.
Ay
17+
16-
15-
14-
0 200 400 600
Q
Q
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
OB.
Ax
17+
16-
15
14+
6
than the significance level 0.05, there
%
0
200 400
400 600
Q
Q
G
OD. H₂:p#0
H₁: p=0
Do the results suggest that imported lemons cause car fatalities?
O A. The results do not suggest any cause-effect relationship between the two variables.
OB. The results suggest that an increase in imported lemons causes car fatality rates to remain the same.
OC. The results suggest that imported lemons cause car fatalities.
O D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates.
O C.
Aу
17+
16
15-
14-
14
%
dº
6 200 400 600
Q
O D.
Ay
17+
16-
15-
14-
M
H++++++
▬▬▬
||||||$
8
|||||
200 400 600
Q
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 OC. Ho: p=0 H₁: p=0 Construct a scatterplot. Choose the correct graph below. O A. Ay 17+ 16- 15- 14- 0 200 400 600 Q Q 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 OB. Ax 17+ 16- 15 14+ 6 than the significance level 0.05, there % 0 200 400 400 600 Q Q G OD. H₂:p#0 H₁: p=0 Do the results suggest that imported lemons cause car fatalities? O A. The results do not suggest any cause-effect relationship between the two variables. OB. The results suggest that an increase in imported lemons causes car fatality rates to remain the same. OC. The results suggest that imported lemons cause car fatalities. O D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates. O C. Aу 17+ 16 15- 14- 14 % dº 6 200 400 600 Q O D. Ay 17+ 16- 15- 14- M H++++++ ▬▬▬ ||||||$ 8 ||||| 200 400 600 Q 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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