The data listed below give information for 10 middle-level managers at a particular company. The first column is years of experience [X] and the second column is annual salary (in thousands) [Y]. We are going to examine the relationship between salary inthousands[Y] and years of experience[X]. Below is the regression output.

Manager#

(X)

(Y)

1

xx

66

2

xx

69

3

23

78

4

xx

41

5

19

xx

6

15

xx

7

24

xx

8

xx

33

9

2

28

10

xx

32

SUMMARY OUTPUT

Regression Statistics

Multiple R

xxx

R Square

0.789

Adjusted R Square

0.740

Standard Error

8.376

Observations

10

ANOVA

df

SS

MS

F

SignificanceF

Regression

1.000

1503.75

1503.75

xxxx

xxxx

Residual

8.000

561.25

70.156

Total

xxx

xxx

Coefficients

Standard Error

t Stat

P value

Intercept

16.586

7.201

2.303

0.050

Yrs Exp (X)

2.892

0.625

xxx

0.003

RESIDUALOUTPUT

Observation

Standardized Residuals

1

-0.956

2

2.129

3

-0.567

4

-1.307

5

1.381

6

-0.417

7

-2.780

8

-0.962

9

1.734

10

1.377

According to the least squares line, if the experience increases by 2 years, the Salary should _______ by ______units (in thousands).

Group of answer choices

Increase, 11.568

Increase, 2.892

Increase, 5.784

Decrease, 2.892

Decrease, 5.784

Previous

Next