The following table contains data on the average number of hours spent studying per week , total number of absences and final grade (in percent) for a random sample of students in a statistics class.

Absences	Hours	Grade
9	10	66
1	8	96
0	9	104
11	3	19
3	4	64
10	3	25
8	6	49
6	7	63

Part A Determine the correlation coefficient of the total number of absences and final grade. Round it to 5 decimal places if possible.

Part B The correlation coefficient suggests that there is (strong/moderately strong/moderately weak/weak)? (positive/negative)? (linear/non-linear)? between the total number of absences and the final grade in the sample.

Part C Suppose we want to test whether there is a linear relationship between the total number of absences and the final grade in the population. Since the correlation coefficient (in absolute value) is (larger/less)? than the decision point (?) , the sample data (have sufficient evidence/do not have sufficient evidence)? to conclude that there is a linear relationship between the total number of absences and the final grade in the population.