Question

The equation of the best fit line relating x, the number of absences, to y, the final grade is y with hat on top equals 0.449 x minus 30.27. Student A missed 7 classes while student B missed 25 classes. Assuming that the scope of the model is between missing 0 classes to 30 classes, the predicted Final Grades for these grades are as follows: Student A: 76.854; Student B: 27.264 Student A: 89.33; Student B: 50.235 Student A: 76.854; Student B: predicting using the regression line is not meaningful. Student A: predicting using the regression line is not meaningful; Student B: predicting using the regression line is not meaningful. Student A: predicting using the regression line is not meaningful; Student B: 27.264

Answer 1

Given the best fit line as Y = 0.449X - 30.27

from the equation we get that slope = 0.449

Interpretation of slope:- For every one absence of class the grade will increase by 0.449. Which does not have any physical significance because with increase in absence of class the grades should decrease.

Interpretation of Intercept:- When there is no absence of a students the grades of the students will be -30.27 which does not have any physical significance because the grade will not be negatvie.

Hence the answer will be

Student A: predicting using the regression line is not meaningful;

Student B: predicting using the regression line is not meaningful.