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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 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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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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 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
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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