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.   LOADING... Click the icon to view the table of critical values of the correlation coefficient.   ...   Question content area top right Part 1 Commute Time ​(in minutes) Well-Being Score   3 69.8   14 68.7   25 67.5   34 67.2   53 66.7   65 65.5   104 63.9         Question content area bottom Part 1 ​(a) Which variable is likely the explanatory variable and which is the response​ variable?     A. The explanatory variable is commute time and the response variable is the​ well-being score because commute time affects the​ well-being score.   B. The explanatory variable is the​ well-being score and the response variable is commute time because commute time affects the​ well-being score.   C. The explanatory variable is the​ well-being score and the response variable is commute time because​ well-being score affects the commute time.   D. The explanatory variable is commute time and the response variable is the​ well-being score because​ well-being score affects the commute time score.   Part 2 ​(b) Draw a scatter diagram of the data. Which of the following represents the​ data?     A.       60700110ScoreTime (min)         A scatter diagram has a horizontal axis labeled Score from 60 to 70 in increments of 1 and a vertical axis labeled Time in minutes from 0 to 110 in increments of 10. The following 7 approximate points are plotted, listed here from left to right: (64.0, 4); (69.8, 14); (65.6, 26); (68.8, 34); (66.8, 54); (67.6, 66); (67.2, 104). The vertical spread of the points decreases from left to right.   B.       60700110Time (min)Score         A scatter diagram has a horizontal axis labeled Time in minutes from 60 to 70 in increments of 1 and a vertical axis labeled Score from 0 to 110 in increments of 10. The following 7 approximate points are plotted, listed here from left to right: (64.0, 104); (65.6, 66); (66.8, 54); (67.2, 34); (67.6, 26); (68.8, 14); (69.8, 4). The points follow the general pattern of a straight line that falls from left to right.   C.       01106070ScoreTime (min)         A scatter diagram has a horizontal axis labeled Score from 0 to 110 in increments of 10 and a vertical axis labeled Time in minutes from 60 to 70 in increments of 1. The following 7 approximate points are plotted, listed here from left to right: (4, 64.0); (14, 65.6); (26, 66.8); (34, 67.2); (54, 67.6); (66, 68.8); (104, 69.8). The points follow the general pattern of a curve that rises from left to right at a decreasing rate.   D.       01106070Time (min)Score         A scatter diagram has a horizontal axis labeled Time in minutes from 0 to 110 in increments of 10 and a vertical axis labeled Score from 60 to 70 in increments of 1. The following 7 approximate points are plotted, listed here from left to right: (4, 69.8); (14, 68.8); (26, 67.6); (34, 67.2); (54, 66.8); (66, 65.6); (104, 64.0). The points follow the general pattern of a straight line that falls from left to right. Part 3 ​(c) Determine the linear correlation coefficient between commute time and​ well-being score.   r=enter your response here ​(Round to three decimal places as​ needed.) Part 4 ​(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. ​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 enter your response here.   B. ​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 enter your response here.   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 enter your response here.   D. ​Yes, the variables commute time and​ well-being score are negatively associated because r is negative and the absolute value of the correlation coefficient is greater than the critical value enter your response here.   E. ​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 enter your response here.   F. ​Yes, the variables commute time and​ well-being score are positively associated because r is positive and the absolute value of the correlation coefficient is greater than the critical value enter your response here

Statistics Question

You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…

Answer clearly

Make a graphical display of the following data sets, choosing nay type of display that you feel is appropriate. Explain your choice of display and discuss any interesting features in the data.  The following table shows the perscentages of American men and women who had never been married in selected years since 1960.    Percentages of Adults Who Never Married  Year            Women        Men  1960             19.0%         25.3% 1980             22.5%         29.6%  2000             21.5%         31.3% 2015             28.9%         34.8%

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Which one?

Pock 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 E Click the icon to view the critical values for the correlation coefficient. (in minutes) Well-Being Score 69.7 68.1 67.3 67.1 66.2 65.1 63.8 15 23 37 54 65 103 (a) Which variable is likely the explanatory variable and which is the response variable? O A. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. O B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. O C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. O D. The explanatory variable is commute time and the response variable is the well-being score…

please don't provide hand writtin solution...

Please find test statistic and p value also thank you