The following table represents the number of hours spent gaming the week before an exam versus the Score on that exam. Hours gaming: 1 3 6 7 9 12 Exam Score: 83 74 62 49 44 35 Part A: Identify Explanatory and Response variables. Part B: Determine the equation of the LSRL. Part C: Find and interpret the correlation coefficient.

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. a) Which variable is likely the explanatory variable and which is the response​ variable?     Critical Values for Correlation Coefficient   n   3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 n   (a) Which variable is likely the explanatory variable and which is the response​ variable? The explanatory variable is…

You wish to determine if there is a positive 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 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 19 27 20 58 31 77 31 47 24 50 26   Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient    r =  Find the p-value   p-value =    The p-value is Greater than αα Less than (or equal to) αα   The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho

You wish to determine if there is a 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 65 27 34 27 76 24 55 34 71 21 49 24 34 36 27 19   Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient    r =  Find the p-value   p-value =    The p-value is Less than (or equal to) αα Greater than αα   The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho   The conclusion is  There is a significant positive 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 a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a…