Mathematics, 27.08.2020 03:01, maricelajacinto3379
Using the "Payroll Data. xlsx" dataset, estimate the slope and intercept parameters for the following regression using OLS: SalesUnits Bonus; = Bo + B. Female: + B, Age: + B3Experience: + Ba tui (Hint: You'll need to create a new variable ("Sales-to-goal ratio") equivalent to the ratio of sales units to the sales goal for each employee) SalesGoal If you wanted to see if the effect of the sales-to-goal ratio was different for males and females in your sample, while still maintaining that the effect of age and experience was the same for both groups, what changes would you have to make to this regression? A) You would need to re-run the same model, except with an interaction term added, where that interaction term is the product of SalesUnits SalesGoalk). Female B) You would need to re-run the model twice: once with just males, once with just females, and then compare the differences in the Ba estimates between these two models. C) You would need re-run a "fully interacted" version of the same model, by interacting the Female indicator variable with all other regressors. D) None, becauseyou are already controlling for gender in this regression, 15 pts
Answers: 1
Mathematics, 21.06.2019 22:30, zacksoccer8279
Assume that y varies inversely with x. if y=1.6 when x=0.5 find x when y=3.2 acellus answer
Answers: 2
Using the "Payroll Data. xlsx" dataset, estimate the slope and intercept parameters for the followin...
History, 05.07.2019 09:00
Mathematics, 05.07.2019 09:00
History, 05.07.2019 09:00