Six

Computer output shown in the next page, indicates the relationship between the time in years that an

employee spent at a company and the employee$$s hourly pay.

Level of monthly sales and the number of months on job.

Regression Statistics

r $0\mathrm{.}722103$

R Square A

Adjusted R Square $0\mathrm{.}473577$

Standard Error $170\mathrm{.}5357$

Observations B

$.$

Coefficient Table

ANOVA

SV df SS MS F Significance F

Regression $1$ D $316874\mathrm{.}1$ G $0\mathrm{.}00800$

Residual C $290824\mathrm{.}1$ F

Total $10$ E

Coefficients Standard Error t Stat P$-$value LB UB

Intercept $300\mathrm{.}9763$ I $1\mathrm{.}309994$

$0\mathrm{.}219491-210\mathrm{.}94755$ K

Years on job H $3\mathrm{.}124146$ J

$0\mathrm{.}008002$ L $17\mathrm{.}273$

REQUIRED:

a$)$ Complete the missing variables in the Tables above $($i$.$e$.$ letters A to L$)$ and interpret the

results obtained.

b$)$ What can you conclude about the significance of the regression coefficients?

c$)$ Obtain regression model $($write the values in $3$ decimal places$)$