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%

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Which step has the lowest multiple R-squared?

  1. Step 1
  2. Step 2
  3. Step 3
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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