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The linear correlation coefficientis r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: PV (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.) Candidate Heights President 179 187 184 180 180 179 188 185 172 182 193 186 187 185 Opponent 185 179 186 174 176 178 181 180 188 175 173 188 186 170 Because the P-value of the linear correlation coefficient is the heights of winning presidential candiates and the heights of their opponents. the significance level, there Print Done - X sufficient evidence to support the claim that there is a linear correlation between

The linear correlation coefficientis r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: PV (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.) Candidate Heights President 179 187 184 180 180 179 188 185 172 182 193 186 187 185 Opponent 185 179 186 174 176 178 181 180 188 175 173 188 186 170 Because the P-value of the linear correlation coefficient is the heights of winning presidential candiates and the heights of their opponents. the significance level, there Print Done - X sufficient evidence to support the claim that there is a linear correlation between

MATLAB: An Introduction with Applications
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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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. 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.) Candidate Heights President 179 187 184 180 180 179 188 185 172 182 193 186 187 185 Opponent 185 179 186 174 176 178 181 180 188 175 173 188 186 170 Because the P-value of the linear correlation coefficient is the heights of winning presidential candiates and the heights of their opponents. Should we expect that there would be a correlation? ... the significance level, there OA. No, because height is the main reason presidential candidates are nominated. OB. No, because presidential candidates are nominated for reasons other than height. C. Yes, because height is the main reason presidential candidates are nominated. D. Yes, because presidential candidates are nominated for reasons other than height. Print Done X sufficient evidence to support the claim that there is a linear correlation between
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. 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.) Candidate Heights President 179 187 184 180 180 179 188 185 172 182 193 186 187 185 Opponent 185 179 186 174 176 178 181 180 188 175 173 188 186 170 Because the P-value of the linear correlation coefficient is the heights of winning presidential candiates and the heights of their opponents. Should we expect that there would be a correlation? ... the significance level, there OA. No, because height is the main reason presidential candidates are nominated. OB. No, because presidential candidates are nominated for reasons other than height. C. Yes, because height is the main reason presidential candidates are nominated. D. Yes, because presidential candidates are nominated for reasons other than height. Print Done X sufficient evidence to support the claim that there is a linear correlation between
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