An educator wants to know how the number of absences for a student in her class affects the student's final

grade.

Number of absences x 10 12 2 0 8 5

Final grade y (%) 70 65 96 94 75 82

1. Find the value of correlation coefficient for these data. What kind of correlation is there between the

absents and final grades? (Strength, sign).

2.What is the equation of the Best Fit Line describing the correlation between x = absent and y = final grade, then

predict the final grade of a student that has 3 absents.

3.At = 0.05 significant lever test the claim that there is significant linear correlation between the number of

absents and the final grade.

4.Use Table A6 to verify the result in part 'c'.

5.Find the value of a Coefficient of Determination, define, and interpret it.