Media periodically discuss the issue of heights of winning presidential candidates and heights of their main opponents. The accompanying table lists the heights (cm) from several recent presidential elections. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.05. Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. OA. 200 160+ 160 www 200 President Height (cm) Q The linear correlation coefficientis r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P 70 H₁: P (Type integers or decimals. Do not round.) The test statistic is t (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is opponents. Should we expect that there would be a correlation? OB. 200 160+ Bais C 200 160 President Height (cm) Candidate Heights the significance level, there O A. No, because height is the main reason presidential candidates are nominated. O B. Yes, because height is the main reason presidential candidates are nominated. OC. Yes, because presidential candidates are nominated for reasons other than height. OD. No, because presidential candidates are nominated for reasons other than height. President Opponent OC. 200 160++ 160 inge 200 President Height (cm) 176 184 190 179 180 188 189 184 176 185 187 190 185 182 183 184 178 168 181 181 179 181 181 178 177 192 186 179 Print O D. Done 200 160+ 160 d 200 President Height (cm) - X sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights of their
Media periodically discuss the issue of heights of winning presidential candidates and heights of their main opponents. The accompanying table lists the heights (cm) from several recent presidential elections. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.05. Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. OA. 200 160+ 160 www 200 President Height (cm) Q The linear correlation coefficientis r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P 70 H₁: P (Type integers or decimals. Do not round.) The test statistic is t (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is opponents. Should we expect that there would be a correlation? OB. 200 160+ Bais C 200 160 President Height (cm) Candidate Heights the significance level, there O A. No, because height is the main reason presidential candidates are nominated. O B. Yes, because height is the main reason presidential candidates are nominated. OC. Yes, because presidential candidates are nominated for reasons other than height. OD. No, because presidential candidates are nominated for reasons other than height. President Opponent OC. 200 160++ 160 inge 200 President Height (cm) 176 184 190 179 180 188 189 184 176 185 187 190 185 182 183 184 178 168 181 181 179 181 181 178 177 192 186 179 Print O D. Done 200 160+ 160 d 200 President Height (cm) - X sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights of their
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Media periodically discuss the issue of heights of winning presidential candidates and heights of their main opponents. The accompanying table lists the heights (cm) from several recent presidential elections. Construct a scatterplot, find the value of the linear correlation
coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.05.
Click the icon to view the heights of the candidates.
Construct a scatterplot. Choose the correct graph below.
O A.
200-
160+
160
W
200
President Height (cm)
Q
Q
The linear correlation coefficientis r=
(Round to three decimal places as needed.)
Determine the null and alternative hypotheses.
Ho: P
H₁: P
(Type integers or decimals. Do not round.)
The test statistic is t=.
(Round to two decimal places as needed.)
The P-value is
(Round to three decimal places as needed.)
Because the P-value of the linear correlation coefficient is
opponents.
Should we expect that there would be a correlation?
O B.
Opponent Height (cm)
€200
160+
160
President Height (cm)
200
Q
Q
O A. No, because height is the main reason presidential candidates are nominated.
O B. Yes, because height is the main reason presidential candidates are nominated.
O C. Yes, because presidential candidates are nominated for reasons other than height.
O D. No, because presidential candidates are nominated for reasons other than height.
Candidate Heights
the significance level, there
C
O C.
€200-
Opponent Height (cm
160+
200
President Height (cm)
160
Q
Q
Print
President 176 184 190 179 180 188 189 184 176 185 187 190 185 182
Opponent 183 184 178 168 181 181 179 181 181 178 177 192 186 179
O D.
Done
€200
160+
F
160
200
President Height (cm)
X
Q
Q
sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights of their
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