A study was carried out to investigate the relationship between x = the number of components needing repair and y = the time of the service call (in minutes) for a computer repair company. The number of components and the service times for a random sample of 20 service calls were used to fit a simple linear regression model. Partial computer output is shown below. ______________________________________________________________
The regression equation is Time = 32.441 + 11.6205 Number
S=19.058, R-Sq=91.3%, R-Sq(adj)=90.0%
______________________________________________________________
One of the numbers in the above computer output indicates the percentage of the observed variation in the service call times that can be explained by the linear relationship between service call time and number of components needing repair.
What is the value of this number?
A)91.3
B)90.0
C)19.058
D)32.441
E)0.7988

Question

A study was carried out to investigate the relationship between x = the number of components needing repair and y = the time of the service call (in minutes) for a computer repair company. The number of components and the service times for a random sample of 20 service calls were used to fit a simple linear regression model. Partial computer output is shown below. ______________________________________________________________
The regression equation is Time = 32.441 + 11.6205 Number  ​ 
S=19.058, R-Sq=91.3%, R-Sq(adj)=90.0%
______________________________________________________________
One of the numbers in the above computer output indicates the percentage of the observed variation in the service call times that can be explained by the linear relationship between service call time and number of components needing repair.
What is the value of this number?
A)91.3 
B)90.0 
C)19.058 
D)32.441 
E)0.7988

Quizplus · Accepted Answer

The Answer of A study was carried out to investigate the relationship between x = the number of components needing repair and y = the time of the service call (in minutes) for a computer repair company. The number of components and the service times for a random sample of 20 service calls were used to fit a simple linear regression model. Partial computer output is shown below. ______________________________________________________________
The regression equation is Time = 32.441 + 11.6205 Number  ​ 
S=19.058, R-Sq=91.3%, R-Sq(adj)=90.0%
______________________________________________________________
One of the numbers in the above computer output indicates the percentage of the observed variation in the service call times that can be explained by the linear relationship between service call time and number of components needing repair.
What is the value of this number?
A)91.3 
B)90.0 
C)19.058 
D)32.441 
E)0.7988

A Study Was Carried Out to Investigate the Relationship Between