Information was collected from employee records to determine whether there is an association between an employee's age and the number or workdays they miss. Excel results are summarized below: From this printout you determine:
A) the y-intercept of 23 makes no sense.
B) the employee age is the independent variable.
C) the regression equation is Y = 23.57 - 0.45x.
D) the employee age is the independent variable; the regression equation is Y = 23.57 - 0.45x.
E) the employee age is the independent variable; the regression equation is Y = 23.57 - 0.45x, however the y-intercept of 23 makes no sense.

Question

Information was collected from employee records to determine whether there is an association between an employee's age and the number or workdays they miss. Excel results are summarized below:   From this printout you determine:
A) the y-intercept of 23 makes no sense. 
B) the employee age is the independent variable. 
C) the regression equation is Y = 23.57 - 0.45x. 
D) the employee age is the independent variable; the regression equation is Y = 23.57 - 0.45x. 
E) the employee age is the independent variable; the regression equation is Y = 23.57 - 0.45x, however the y-intercept of 23 makes no sense.

Quizplus · Accepted Answer

The Answer of Information was collected from employee records to determine whether there is an association between an employee's age and the number or workdays they miss. Excel results are summarized below:   From this printout you determine:
A) the y-intercept of 23 makes no sense. 
B) the employee age is the independent variable. 
C) the regression equation is Y = 23.57 - 0.45x. 
D) the employee age is the independent variable; the regression equation is Y = 23.57 - 0.45x. 
E) the employee age is the independent variable; the regression equation is Y = 23.57 - 0.45x, however the y-intercept of 23 makes no sense.

Information Was Collected from Employee Records to Determine Whether There