1. Math
  2. Statistics And Probability
  3. you build several models predicting job performance sales dollars in...

Question: you build several models predicting job performance sales dollars in...

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You build several models predicting job performance (sales dollars in thousands) using years of industry experience as a predictor. The slope of years of industry experience is .40 (p < .0001) for a simple linear regression and 60 (p<.0001) when including three other predictors (education level, SAT score, and age) in a multiple linear regression. Which of the following statements are correct (check all that apply)? Select one or more a. Holding education level, SAT score, and age constant, we expect each year of industry experience to increase expected sales dolars by S600 O b. Controlling for education level, SAT score, and age changes the statistical significance of industry experience when predicting job performance (at the .05 level). c. Holding no other variables constant, we expect each year of industry experience to increase expected sales dollars by $600 d. Even after controlling for education level, SAT score, and age, industry experience is a statistically significant predictor of job performance (at the 05 level of significance)

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