Suppose you are a human resources manager at a large corporation and that you are interested in determining whether a specific training program increases worker productivity (as measured by the number of TPS reports completed)enough to justify its implementation.In an effort to test your theory,you collect data on 672 workers,284 who participated in the training program and 388 who did not,with the dependent variable being measured worker productivity and independent variables being HOURS WORKED,and whether the individual PARTICIPATED in the training program (PARTICIPATED = 1 if the worker participated and 0 if they didn't).Suppose that you estimate the sample regression function (standard errors in parentheses) $$\begin{array} { llll }
\text { TPS } { \ \widehat {Rep}orts _{ i } } \text { Hours } _ { i } =& 8.32 + &1.47 \text { Hours Worked } _ { i } +& 2.92 \text { Participated } _ { i } \
&( 1.36 ) & ( 0.68 )&(1.39) \
\end{array}$$
a)How should you interpret the estimated coefficient for PARTICIPATED? Draw a graph and explain.
b)Comment on the statistical significance of the coefficients.
c)How would you change the regression model to account for the possibility that the marginal effect of HOURS WORKED differs for those who participated in the training program and those who don't.Write down the model and explain how to interpret the slope coefficients.
d)How would the coefficient estimates change if you coded PARTICIPATED as 0 and DON'T PARTICIPATE as a 1?

Question

Suppose you are a human resources manager at a large corporation and that you are interested in determining whether a specific training program increases worker productivity (as measured by the number of TPS reports completed)enough to justify its implementation.In an effort to test your theory,you collect data on 672 workers,284 who participated in the training program and 388 who did not,with the dependent variable being measured worker productivity and independent variables being HOURS WORKED,and whether the individual PARTICIPATED in the training program (PARTICIPATED = 1 if the worker participated and 0 if they didn't).Suppose that you estimate the sample regression function (standard errors in parentheses) $$\begin{array} { llll } 
\text { TPS }  { \ \widehat {Rep}orts  _{ i } } \text { Hours } _ { i } =& 8.32 + &1.47 \text { Hours Worked } _ { i } +& 2.92 \text { Participated } _ { i } \
&( 1.36 ) &  ( 0.68 )&(1.39) \
\end{array}$$ 
a)How should you interpret the estimated coefficient for PARTICIPATED? Draw a graph and explain.
b)Comment on the statistical significance of the coefficients.
c)How would you change the regression model to account for the possibility that the marginal effect of HOURS WORKED differs for those who participated in the training program and those who don't.Write down the model and explain how to interpret the slope coefficients.
d)How would the coefficient estimates change if you coded PARTICIPATED as 0 and DON'T PARTICIPATE as a 1?

Quizplus · Accepted Answer

The Answer of Suppose you are a human resources manager at a large corporation and that you are interested in determining whether a specific training program increases worker productivity (as measured by the number of TPS reports completed)enough to justify its implementation.In an effort to test your theory,you collect data on 672 workers,284 who participated in the training program and 388 who did not,with the dependent variable being measured worker productivity and independent variables being HOURS WORKED,and whether the individual PARTICIPATED in the training program (PARTICIPATED = 1 if the worker participated and 0 if they didn't).Suppose that you estimate the sample regression function (standard errors in parentheses) $$\begin{array} { llll } 
\text { TPS }  { \ \widehat {Rep}orts  _{ i } } \text { Hours } _ { i } =& 8.32 + &1.47 \text { Hours Worked } _ { i } +& 2.92 \text { Participated } _ { i } \
&( 1.36 ) &  ( 0.68 )&(1.39) \
\end{array}$$ 
a)How should you interpret the estimated coefficient for PARTICIPATED? Draw a graph and explain.
b)Comment on the statistical significance of the coefficients.
c)How would you change the regression model to account for the possibility that the marginal effect of HOURS WORKED differs for those who participated in the training program and those who don't.Write down the model and explain how to interpret the slope coefficients.
d)How would the coefficient estimates change if you coded PARTICIPATED as 0 and DON'T PARTICIPATE as a 1?

Suppose You Are a Human Resources Manager at a Large