1. An analyst ran a regression with four predictor variables. Variable description Salary in R1000.00 Years at company Age in years Education in years Variable Name SALARY YEARS AGE EDYEARS He suspects that AGE can be dropped from the model and he decided to employ forward stepwise regression. Show all the steps he has to do to get to a fitted response regression without age.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4: Estimating Demand
Section: Chapter Questions
Problem 8E
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1. An analyst ran a regression with four predictor variables.
Variable description
Variable
Name
Salary in R1000.00
Years at company
Age in years
Education in years
SALARY
YEARS
AGE
EDYEARS
He suspects that AGE can be dropped from the model and he decided to employ forward
stepwise regression. Show all the steps he has to do to get to a fitted response regression without
age.
2. BIC, Bayesian information criteria or SBC, Schwarz' Bayesian Criteria, are the same. Give the
aquations for AIC and BIC and explain the difference in these two equations in terms of the terms
in the equations as well as the consequences.
3. Give a short description of measuring the actual predictive capabilities of the selected regression.
model.
Transcribed Image Text:1. An analyst ran a regression with four predictor variables. Variable description Variable Name Salary in R1000.00 Years at company Age in years Education in years SALARY YEARS AGE EDYEARS He suspects that AGE can be dropped from the model and he decided to employ forward stepwise regression. Show all the steps he has to do to get to a fitted response regression without age. 2. BIC, Bayesian information criteria or SBC, Schwarz' Bayesian Criteria, are the same. Give the aquations for AIC and BIC and explain the difference in these two equations in terms of the terms in the equations as well as the consequences. 3. Give a short description of measuring the actual predictive capabilities of the selected regression. model.
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