P Fintion - Proconal - Mcrout Esge MAT 207 Nonna Harvey-willams \& I 02/05/25 \( 12: 19 \) PM Resume later Submit quiz al Values The data in the table to the right are based on the results of a survey comparing the Values for Correlation Coefficient a commute time of adults to their score on a well being test Complete parts (a) through (d) \( \qquad \) \begin{tabular}{|cc} \begin{tabular}{c} Commute Time \\ (in minutes) \end{tabular} & \begin{tabular}{c} Well-Beinge \\ Score \end{tabular} \\ \hline 3 & 69.4 \\ \hline 13 & 68.4 \\ \hline 24 & 67.8 \\ \hline 36 & 677 \\ \hline 54 & 652 \\ \hline 68 & 658 \\ \hline 97 & 63.1 \\ \hline \end{tabular} \( \qquad \) \( r=\square \) (Round to three decimal places as needed) \( \qquad \) (Round to three decimal places as needed) the critical value Print Done Tme Remaining: 03:52 Next Buty a seman ? \( \frac{12190}{218003} \) (1iP)
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The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. (b) Draw a scatter diagram of the data. Which of the following represents the data? (c) Determine the linear correlation coefficient between commute time and well-being score. (Round to three decimal places as needed.)
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The Gallup Organization regularly surveys adult Americans regarding their commute time to work. In addition, they administer a Well-Being Survey. The data in the table and scatter plot below represents the results of these surveys. Source: The Gallup Organization Commute Time (minutes) Well-Being Index Composite Score 5 69.2 15 68.3 25 67.5 35 67.1 50 66.4 72 66.1 105 63.9 Looking at the scatter plot, do you think there is a significant linear correlation between commute time and Well-Being scores? If so, is it positive or negative? Find the value for the correlation coefficient (use LinRegTtest, do not show your work): On a separate page, conduct a hypothesis test to determine if the correlation coefficient is different from zero, using a significance level of 5%. Clearly number each step and use ALL of the listed steps provided (lists of steps of all procedures starting on page 8). Do either the Rejection Region method OR the P-value method, but tell me which one you are doing. Can we say that the commute time causes changes in the well-being score? Explain.
Dominador T.
The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Commute Time (in minutes) Well-Being Score 4 69.9 16 68.3 26 67.8 35 67.2 48 66.2 66 65.3 98 63.6 Click the icon to view the table of critical values of the correlation coefficient. (c) Determine the linear correlation coefficient between commute time and well-being score. r = (Round to three decimal places as needed.) (d) Does a linear relation exist between the commute time and well-being index score? Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, the variables commute time and well-being score are negatively associated because r is positive and the absolute value of the correlation coefficient is greater than the critical value. B. No, the variables commute time and well-being score are not linearly related because r is negative and the absolute value of the correlation coefficient is less than the critical value. C. No, the variables commute time and well-being score are not linearly related because r is positive and the absolute value of the correlation coefficient is less than the critical value. D. Yes, the variables commute time and well-being score are positively associated because r is negative and the absolute value of the correlation coefficient is greater than the critical value.
Ana Carolina D.
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