3. The data in the table are based on the results of a survey comparing the commute time of adults to their score on a well-being test. a. How many adults took the survey? n =2 b. Which variable is the explanatory (independent) variable? Commute Time c. Which variable is the response (dependent) variable? WellBeing Score d. Write a sentence to interpret the linear Well- Commute Being Time Score 3 69.1 17 68.9 24 67.3 36 67.2 48 66.1 71 65.3 96 63.7 correlation coefficient between commute time and well-being score. Score Correlations CommuteiTime -O.980 4. A researcher selected a random sample of trees in Marshall, MN, and measured the circumference (feet) and height (feet) of each tree. He found that there is a linear relationship between circumference and height, with the least squares regression line below: eight = 5.3 (Circumference) -l- 22.5 4 ix /\\ Circumference Height a. Write a sentence to interpret the slope of the line (use variable names and units)