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Find the missing regression coefficients of the Minitab results. 2.What regression model will you use for this regression problem? Justify.

Find the missing regression coefficients of the Minitab results. 2.What regression model will you use for this regression problem? Justify.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1.Find the missing regression coefficients of the Minitab results.
2.What regression model will you use for this regression problem? Justify.

 

see the picture below for the minitab 

Best Subsets Regression: PROD versus COST FERT, LABOR COST, ... Response is PROD Vars R-Sq 1 45.1 1 33.0 2 49.0 2 48.4 3 51.4 3 51.1 A W WNNH00 R-Sq (adj) 43.6 798914050.9 31.2 974699102.8 46.3 780291809.6 45.6 790445140.7 47.3 789562064.1 47.0 783537907.1 Coefficients 4 53.1 47.8 787892075.1 S² = (4204.2)² = 17675298 PRESS Term Constant COST FERT 0.612 LABOR COST OTHER COST EXP Coef SE Coef 11.28 130.8 R-Sq Mallows (pred) 39.5 26.2 40.9 40.1 40.2 40.6 40.3 95% CI 2357 ( -554, 9014) 0.494 (-0.391, 1.615) 1.02 ( 0.61, 4.73) 9.83 (-8.68, 31.23) 84.0 (-39.9, 301.4) LO CAT OBH T-Value 1.79 1.24 2.63 1.15 1.56 SOE TRR FC C E O OE RSS X TTT P X Cp S 4368.2 5.0 14.1 4825.1 X 4.1 4263.8 X X 4.6 4292.7 X X 4.3 4222.6 X X X 4.5 4235.1 X X X 5.0 4204.2 X X X X P-Value VIF 0.081 0.224 1.75 0.013 1.87 0.259 1.24 0.129 1.31
Transcribed Image Text:Best Subsets Regression: PROD versus COST FERT, LABOR COST, ... Response is PROD Vars R-Sq 1 45.1 1 33.0 2 49.0 2 48.4 3 51.4 3 51.1 A W WNNH00 R-Sq (adj) 43.6 798914050.9 31.2 974699102.8 46.3 780291809.6 45.6 790445140.7 47.3 789562064.1 47.0 783537907.1 Coefficients 4 53.1 47.8 787892075.1 S² = (4204.2)² = 17675298 PRESS Term Constant COST FERT 0.612 LABOR COST OTHER COST EXP Coef SE Coef 11.28 130.8 R-Sq Mallows (pred) 39.5 26.2 40.9 40.1 40.2 40.6 40.3 95% CI 2357 ( -554, 9014) 0.494 (-0.391, 1.615) 1.02 ( 0.61, 4.73) 9.83 (-8.68, 31.23) 84.0 (-39.9, 301.4) LO CAT OBH T-Value 1.79 1.24 2.63 1.15 1.56 SOE TRR FC C E O OE RSS X TTT P X Cp S 4368.2 5.0 14.1 4825.1 X 4.1 4263.8 X X 4.6 4292.7 X X 4.3 4222.6 X X X 4.5 4235.1 X X X 5.0 4204.2 X X X X P-Value VIF 0.081 0.224 1.75 0.013 1.87 0.259 1.24 0.129 1.31
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