Student's Final Grade
A statistics professor investigated some of the factors that affect an individual student's final grade in her course.She proposed the multiple regression model ,where y is the final grade (out of 100 points),x 1 is the number of lectures skipped,x 2 is the number of late assignments,and x 3 is the midterm exam score (out of 100).The professor recorded the data for 50 randomly selected students.The computer output is shown below. THE REGRESSION EQUATION IS S = 13.74 R−Sq = 30.0% ANALYSIS OF VARIANCE
-{Student's Final Grade Narrative} What is the coefficient of determination? What does this statistic tell you?

Question

Student's Final Grade 
A statistics professor investigated some of the factors that affect an individual student's final grade in her course.She proposed the multiple regression model  ,where y is the final grade (out of 100 points),x 1 is the number of lectures skipped,x 2 is the number of late assignments,and x 3 is the midterm exam score (out of 100).The professor recorded the data for 50 randomly selected students.The computer output is shown below. THE REGRESSION EQUATION IS  ​  ​ ​ S = 13.74 R−Sq = 30.0% ​ ANALYSIS OF VARIANCE  ​ ​
-{Student's Final Grade Narrative} What is the coefficient of determination? What does this statistic tell you?

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The Answer of Student's Final Grade 
A statistics professor investigated some of the factors that affect an individual student's final grade in her course.She proposed the multiple regression model  ,where y is the final grade (out of 100 points),x 1 is the number of lectures skipped,x 2 is the number of late assignments,and x 3 is the midterm exam score (out of 100).The professor recorded the data for 50 randomly selected students.The computer output is shown below. THE REGRESSION EQUATION IS  ​  ​ ​ S = 13.74 R−Sq = 30.0% ​ ANALYSIS OF VARIANCE  ​ ​
-{Student's Final Grade Narrative} What is the coefficient of determination? What does this statistic tell you?