The following table shows the number of workdays absent based on the length of employment in years. i. The Y intercept of the linear equation is 7.7407.
ii. The dependent variable (Y) is the number of work days absent.
iii. The slope of the linear equation is -0.6852
A) (i), (ii), and (iii) are all correct statements.
B) (i) and (ii) are correct statements but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.

Question

The following table shows the number of workdays absent based on the length of employment in years.  i. The Y intercept of the linear equation is 7.7407.
ii. The dependent variable (Y) is the number of work days absent.
iii. The slope of the linear equation is -0.6852
A) (i), (ii), and (iii) are all correct statements. 
B) (i) and (ii) are correct statements but not (iii). 
C) (i) and (iii) are correct statements but not (ii). 
D) (ii) and (iii) are correct statements but not (i). 
E) (i), (ii), and (iii) are all false statements.

Quizplus · Accepted Answer

(i) is correct because the Y-intercept is the value of Y when X (length of employment) is 0, which in this case is the number of workdays absent when an employee is just starting their job.
(ii) is correct because the dependent variable (Y) is the number of workdays absent, which is what we are trying to predict/explain.
(iii) is correct because the negative slope indicates that as the length of employment increases, the number of workdays absent decreases, which makes sense since longer-tenured employees are typically more experienced and have better attendance.

The Following Table Shows the Number of Workdays Absent Based