Step by step please

Absences Final 81 90 2 86 3 76 6 51 4 75 44 81 94 93 A calculation is done to find the linear regression line and the correlation coefficient (r). They are as follows: Linear Regression Line: = -6.77x +94.69 Correlation Coefficient: r = -0.96 a) Using the correlation coefficient, determine whether or not this linear regression model is a good fit for our data. Explain why or why not. (1 point) b) What final grade does the linear regression model predict for a student with 5 absences? (2 points) c) Does it make sense to use the regression model to make the prediction you did in part (b)? Why or why not? (1 point) d) Interpret the y-intercept of the regression line in context. (2 points) e) Interpret the slope of the regression line in context. (2 points) 3. A high school math teacher collects the data in the table above concerning the number of absences a student has and their final grade in his class