Show transcribed image text Question 11 1 pts The data below are the number of absences and the final grades of 9 randomly chosen students from a statistics class Number of absences, x 0 3 6492 15 8 5 Final grade, y 98 8680 82 71 92 55 76 82 Σ x = 52, Σ y = 722, Σ x2-460, Σ = 59154, Σ xy = 3732 The equation of the best fit line relating x, the number of absences, to y, the Final grade is y-hat = 2.755x 96.139. Student A missed 7 classes while student B student missed 25 classes. The predicted Final Grades for these students are as follows: O student A: 89.33; student B: 50.235 O student A: predicting using the regression line is not meaningful; student B: 27.264 student A: 76.854; student B: 27.264. student A: predicting using the regression line is not meaningful; student B: predicting using the regression line is not meaningful. O student A: 76.854; student B: predicting using the regression line is not meaningful
Question 11 1 pts The data below are the number of absences and the final grades of 9 randomly chosen students from a statistics class Number of absences, x 0 3 6492 15 8 5 Final grade, y 98 8680 82 71 92 55 76 82 Σ x = 52, Σ y = 722, Σ x2-460, Σ = 59154, Σ xy = 3732 The equation of the best fit line relating x, the number of absences, to y, the Final grade is y-hat = 2.755x 96.139. Student A missed 7 classes while student B student missed 25 classes. The predicted Final Grades for these students are as follows: O student A: 89.33; student B: 50.235 O student A: predicting using the regression line is not meaningful; student B: 27.264 student A: 76.854; student B: 27.264. student A: predicting using the regression line is not meaningful; student B: predicting using the regression line is not meaningful. O student A: 76.854; student B: predicting using the regression line is not meaningful
