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 significance level of a 0.01. E Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. OA. OB. C. O D. 5 200 5 200 5 200- E 200- 160+ 160 President Height (cm) 160+ 200 President Height (cm) 160 160 President Height (cm) 160- 160 President Height (cm) 200 200 200 The linear correlation coefficientis r=D. (Round to three decimal places as needed.)
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 significance level of a 0.01. E Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. OA. OB. C. O D. 5 200 5 200 5 200- E 200- 160+ 160 President Height (cm) 160+ 200 President Height (cm) 160 160 President Height (cm) 160- 160 President Height (cm) 200 200 200 The linear correlation coefficientis r=D. (Round to three decimal places as needed.)
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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Question
what is test statistic?
what is p value?

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 = 0.01.
Click the icon to view the heights of the candidates.
.....
Construct a scatterplot. Choose the correct graph below.
O A.
В.
D.
200-
등 200-
200-
등 200-
160+
160
President Height (cm)
160+
160
President Height (cm)
160-
160
President Height (cm)
160+
160
President Height (cm)
200
200
200
200
The linear correlation coefficientis r=
(Round to three decimal places as needed.)
Candidate heights
President
181
185 188 174 183
179 193 184
173
190 183
185 186 186 D
Opponent
179
178 182
168
176 179
185
177 180
172 173
189 181
178
Opponent Height (cm)
Opponent Height (cm)
Opponent Height (cm)
Opponent Height (cm)
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