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For 40 candidates for 4 sales manager positions, applicants are given a subjective Rating by a screening panel. Then, a number of other variables are scored by an HR software program. Below is backward elimination output (with some deletions) for a study of the regressions of Rating vs. these other variables. Use this output for Problems 1-2. Regression Analysis: Rating versus Time, Poten, AdvExp, Change, Accounts Backward Elimination of Terms Candidate terms: Time, Poten, AdvExp, Change, Accounts -----Step 1----- Coef --Step 2----- Р Constant 2.519 Coef 2.005 P --Step 3--- Coef P 2.842 Account 0.00320 0.348 -0.00300 0.300 AdvExp -0.000017 0.197 0.000018 0.167 0.000013 0.019 Change -0.000091 0.195 0.000089 0.200 0.000079 0.117 Poten 0.632 0.070 0.660 0.037 0.633 0.041 Time 0.00279 0.541 S 0.814788 0.798869 0.811174 R-sq R-sq (adj) a to remove = 0.10 43.82% 27.14%

For 40 candidates for 4 sales manager positions, applicants are given a subjective Rating by a screening panel. Then, a number of other variables are scored by an HR software program. Below is backward elimination output (with some deletions) for a study of the regressions of Rating vs. these other variables. Use this output for Problems 1-2. Regression Analysis: Rating versus Time, Poten, AdvExp, Change, Accounts Backward Elimination of Terms Candidate terms: Time, Poten, AdvExp, Change, Accounts -----Step 1----- Coef --Step 2----- Р Constant 2.519 Coef 2.005 P --Step 3--- Coef P 2.842 Account 0.00320 0.348 -0.00300 0.300 AdvExp -0.000017 0.197 0.000018 0.167 0.000013 0.019 Change -0.000091 0.195 0.000089 0.200 0.000079 0.117 Poten 0.632 0.070 0.660 0.037 0.633 0.041 Time 0.00279 0.541 S 0.814788 0.798869 0.811174 R-sq R-sq (adj) a to remove = 0.10 43.82% 27.14%

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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For 40 candidates for 4 sales manager positions, applicants are given a subjective Rating by a screening panel. Then, a number of other variables are scored by an HR software program. Below is backward elimination output (with some deletions) for a study of the regressions of Rating vs. these other variables. Use this output for Problems 1-2. Regression Analysis: Rating versus Time, Poten, AdvExp, Change, Accounts Backward Elimination of Terms Candidate terms: Time, Poten, AdvExp, Change, Accounts -----Step 1----- Coef --Step 2----- Р Constant 2.519 Coef 2.005 P --Step 3--- Coef P 2.842 Account 0.00320 0.348 -0.00300 0.300 AdvExp -0.000017 0.197 0.000018 0.167 0.000013 0.019 Change -0.000091 0.195 0.000089 0.200 0.000079 0.117 Poten 0.632 0.070 0.660 0.037 0.633 0.041 Time 0.00279 0.541 S 0.814788 0.798869 0.811174 R-sq R-sq (adj) a to remove = 0.10 43.82% 27.14%
Transcribed Image Text:For 40 candidates for 4 sales manager positions, applicants are given a subjective Rating by a screening panel. Then, a number of other variables are scored by an HR software program. Below is backward elimination output (with some deletions) for a study of the regressions of Rating vs. these other variables. Use this output for Problems 1-2. Regression Analysis: Rating versus Time, Poten, AdvExp, Change, Accounts Backward Elimination of Terms Candidate terms: Time, Poten, AdvExp, Change, Accounts -----Step 1----- Coef --Step 2----- Р Constant 2.519 Coef 2.005 P --Step 3--- Coef P 2.842 Account 0.00320 0.348 -0.00300 0.300 AdvExp -0.000017 0.197 0.000018 0.167 0.000013 0.019 Change -0.000091 0.195 0.000089 0.200 0.000079 0.117 Poten 0.632 0.070 0.660 0.037 0.633 0.041 Time 0.00279 0.541 S 0.814788 0.798869 0.811174 R-sq R-sq (adj) a to remove = 0.10 43.82% 27.14%
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