Media Periodically Discuss The Issue Of Heights Of Winning Presidential Candidates And Heights Of Their Main Opponents 1 (79.97 KiB) Viewed 21 times
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 x = 0.05. Click the icon to view the heights of the candidates. Construct a scatterplot. Choose the correct graph below. O A. OB. OC. O D. Q Q Q ✔ G G €200- DINH 160 200 President Height (cm) 160- 200 PM + 160 200 President Height (cm) 160+ H € 200 Candidate Heights 160+ 160 200 President Height (cm) President 183 183 190 172 177 184 192 179 177 181 189 188 180 192 Opponent 177 185 181 174 173 178 176 182 181 174 168 194 188 176 Print Done 2007 ... 200 160 President Height (cm) 160+ X
The linear correlation coefficientis r= 0.030 . (Round to three decimal places as needed.) Determine the null and alternative hypotheses. = 0 Ho: P H₁: p = 0 (Type integers or decimals. Do not round.) The test statistic is t = 0.10. (Round to two decimal places as needed.) The P-value is 0.920. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is greater than winning presidential candiates and the heights of their opponents. Should we expect that there would be a correlation? A. Yes, because height is the main reason presidential candidates are nominated. B. Yes, because presidential candidates are nominated for reasons other than height. C. No, because height is the main reason presidential candidates are nominated. D. No, because presidential candidates are nominated for reasons other than height. the significance level, there is not sufficient evidence to support the claim that there is a linear correlation between the heights of
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