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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 ofr. 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+ 724 POK 160 200 President Height (cm) Q 2 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 Should we expect that there would be a correlation? O B. 200 160+ 160 29 199 200 President Height (cm) ² OA. No, because presidential candidates are nominated for reasons other than height. OB. No, because height is the main reason presidential candidates are nominated. OC. Yes, because height is the main reason presidential candidates are nominated. OD. Yes, because presidential candidates are nominated for reasons other than height. Q G the significance level, there O C. Candidate Heights 200 160 KFT ‒‒‒‒ 160 200 President Height (cm) 2 O D. President 180 181 183 180 179 181 189 178 176 185 190 191 183 189 Opponent 175 179 177 176 183 178 177 182 185 180 172 186 186 172 6 200 HOPK OBE **** ++++ 160 200 President Height (cm) sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights of their opponents. X 160+ Q Q G

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 ofr. 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+ 724 POK 160 200 President Height (cm) Q 2 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 Should we expect that there would be a correlation? O B. 200 160+ 160 29 199 200 President Height (cm) ² OA. No, because presidential candidates are nominated for reasons other than height. OB. No, because height is the main reason presidential candidates are nominated. OC. Yes, because height is the main reason presidential candidates are nominated. OD. Yes, because presidential candidates are nominated for reasons other than height. Q G the significance level, there O C. Candidate Heights 200 160 KFT ‒‒‒‒ 160 200 President Height (cm) 2 O D. President 180 181 183 180 179 181 189 178 176 185 190 191 183 189 Opponent 175 179 177 176 183 178 177 182 185 180 172 186 186 172 6 200 HOPK OBE **** ++++ 160 200 President Height (cm) sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights of their opponents. X 160+ Q Q G

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter4: Calculating The Derivative
Section4.CR: Chapter 4 Review
Problem 88CR
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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 α = 0.05. Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. O A. 200- 160+ 160 200 President Height (cm) Q The linear correlation coefficientis r=- (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P 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 Should we expect that there would be a correlation? O B. 200- 160+ 200 President Height (cm) 160 Q O A. No, because presidential candidates are nominated for reasons other than height. OB. No, because height is the main reason presidential candidates are nominated. O C. Yes, because height is the main reason presidential candidates are nominated. O D. Yes, because presidential candidates are nominated for reasons other than height. ✔ the significance level, there C Candidate Heights O C. 200 160+ 160 200 President Height (cm) Print Q President 180 181 183 180 179 181 189 178 176 185 190 191 183 189 Opponent 175 179 177 176 183 178 177 182 185 180 172 186 186 172 O D. 200- I 160+ 160 200 President Height (cm) Done Opponent Height (cm) sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights f their opponents. ||||||| X Q Q ✓
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 α = 0.05. Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. O A. 200- 160+ 160 200 President Height (cm) Q The linear correlation coefficientis r=- (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P 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 Should we expect that there would be a correlation? O B. 200- 160+ 200 President Height (cm) 160 Q O A. No, because presidential candidates are nominated for reasons other than height. OB. No, because height is the main reason presidential candidates are nominated. O C. Yes, because height is the main reason presidential candidates are nominated. O D. Yes, because presidential candidates are nominated for reasons other than height. ✔ the significance level, there C Candidate Heights O C. 200 160+ 160 200 President Height (cm) Print Q President 180 181 183 180 179 181 189 178 176 185 190 191 183 189 Opponent 175 179 177 176 183 178 177 182 185 180 172 186 186 172 O D. 200- I 160+ 160 200 President Height (cm) Done Opponent Height (cm) sufficient evidence to support the claim that there is a linear correlation between the heights of winning presidential candiates and the heights f their opponents. ||||||| X Q Q ✓
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