probs-multreg1 - Questions on Multiple Regression(The next...

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Questions on Multiple Regression (The next 5 questions are based on the following information.) Imagine that you are head of personnel at Huge Corp. The CEO keeps getting other people's mail by mistake, so she asks you to conduct a study of mailroom productivity. You take a random sample of 27 mailroom employees and gather data on the following variables: productivity (PROD = letters correctly sorted per minute), experience (EXP = months of experience in the Huge Corp. mailroom), and aptitude score (SCORE = score on the test they took when they applied for a job at Huge Corp.) You generate the following regression equation: Predicted PROD = 2.0 + 0.5 EXP + 0.2 SCORE 1. Identify the independent variable(s) and the dependent variable(s). (a) IVs: Experience and aptitude score DVs: Productivity (b) IVs: Productivity DVs: Experience (c) IVs: Productivity DVs: Aptitude Score (d) IVs: Productivity and Experience DVs: Experience and aptitude score 2. Ernest has just been hired, and has an aptitude score of 80. What level of productivity would you expect from Ernest? 3. How much is Ernest’s productivity expected to improve after he gains an additional 6 months of experience? (a) 1.2 more letters sorted per minute (b) 3.0 more letters sorted per minute (c) 16.0 more letters sorted per minute (d) 21.0 more letters sorted per minute 4. What is the best interpretation of the intercept term (2.0) in the regression equation? 5. Jack has 3 months more experience than Jill, but Jill’s aptitude score is 20 points higher than Jack’s. Who is expected to be more productive? (a) Jack is expected to be more productive than Jill.
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