THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor investigated some of the factors that affect an individual student's final grade in his course.He proposed the multiple regression model Y = β 0 + β 1 X 1 + β 2 X 2 + β 3 X 3 + ε ,where Y is the final mark (out of 100),X 1 is the number of lectures skipped,X 2 is the number of late assignments,and X 3 is the mid-term test mark (out of 100).The professor recorded the data for 50 randomly selected students.The computer output is shown below.
The regression equation is
= 41.6 - 3.18x 1 - 1.17x 2 + 0.63x 3 .

S = 13.74 R-Sq = 30.0%
ANALYSIS OF VARIANCE

-Does the data provide enough evidence to conclude that,at the 5% significance level,the final mark and the number of skipped lectures are linearly related?

Question

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor investigated some of the factors that affect an individual student's final grade in his course.He proposed the multiple regression model Y = β 0 + β 1 X 1 + β 2 X 2 + β 3 X 3 + ε ,where Y is the final mark (out of 100),X 1 is the number of lectures skipped,X 2 is the number of late assignments,and X 3 is the mid-term test mark (out of 100).The professor recorded the data for 50 randomly selected students.The computer output is shown below.
The regression equation is  
= 41.6 - 3.18x 1 - 1.17x 2 + 0.63x 3 .
  
S = 13.74 R-Sq = 30.0%
ANALYSIS OF VARIANCE
 
-Does the data provide enough evidence to conclude that,at the 5% significance level,the final mark and the number of skipped lectures are linearly related?

Quizplus · Accepted Answer

The Answer of THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor investigated some of the factors that affect an individual student's final grade in his course.He proposed the multiple regression model Y = β 0 + β 1 X 1 + β 2 X 2 + β 3 X 3 + ε ,where Y is the final mark (out of 100),X 1 is the number of lectures skipped,X 2 is the number of late assignments,and X 3 is the mid-term test mark (out of 100).The professor recorded the data for 50 randomly selected students.The computer output is shown below.
The regression equation is  
= 41.6 - 3.18x 1 - 1.17x 2 + 0.63x 3 .
  
S = 13.74 R-Sq = 30.0%
ANALYSIS OF VARIANCE
 
-Does the data provide enough evidence to conclude that,at the 5% significance level,the final mark and the number of skipped lectures are linearly related?