TYPE 1.300** (0.590)
PAR -0.195** (0.291)
SR -0.005 (0.068)
CR 0.483 (0.329)
LOC -0.575 (0.655)
THANDICAP -0.037 (0.091)
PHANDICAP -0.181 (0.075)
FEMALE 0.159 (0.708)
The table shows regression coefficients (standard errors in parenthesis) for the independent variables. The dependent variable is score. (again, under the stabelford system higher is better).
Type is a dummy variable with 1 for net score tournaments and 0 for gross score tournaments. Explain the meaning of the coefficient.
Is it significant at the 5% level? Explain.
What is the t-statistic on TYPE? ________________
The variables PAR and CR are measures of difficulty of the course, and PHANDICAP is a measure of the golfer's ability. Why are these variables included in the regression equation?
Which variable should be added to the regression if you want to test whether the effect of TYPE is different for male and female players? Why?
TYPE 1.300** (0.590)
PAR -0.195** (0.291)
SR -0.005 (0.068)
CR 0.483 (0.329)
LOC -0.575 (0.655)
THANDICAP -0.037 (0.091)
PHANDICAP -0.181 (0.075)
FEMALE 0.159 (0.708)
The table shows regression coefficients (standard errors in parenthesis) for the independent variables. The dependent variable is score. (again, under the stabelford system higher is better).
Type is a dummy variable with 1 for net score tournaments and 0 for gross score tournaments. Explain the meaning of the coefficient.
Is it significant at the 5% level? Explain.
What is the t-statistic on TYPE? ________________
The variables PAR and CR are measures of difficulty of the course, and PHANDICAP is a measure of the golfer's ability. Why are these variables included in the regression equation?
Which variable should be added to the regression if you want to test whether the effect of TYPE is different for male and female players? Why?
