Suppose that you have several hypotheses to test, as follow: H1: Costumer focus has a significant positive relationship with organization performance. H2: Continuous improvement has a significant negative relationship with organization performance. H3: Employee involvement has a significant negative relationship with organization performance. H4: Top management support has a significant positive relationship with organization performance. H5: Supplier management has a significant positive relationship with organization performance. After you analyze the data using linear regression analysis, the result showed as follow: MODEL SUMMARY Model R R Square Adjusted R Square Std. Error of the Estimate 1 .674a 0.579 0.467 0.833 ANNOVA Model Sum of Squares df Mean Square F Sig. Regression 85.400 6 13.673 23.547 .000b Residual 140.500 195 .695 Total 218.500 198 a. Dependent Variable: Organization Performance b. Predictors: (Constant), Customer focus, Continuous Improvement, Employee Involvement, Top Management, Supplier Management Coefficients Model Unstandardized Coefficients Standardized Coefficients t sig. 1 B Std. Error Beta Constant) 1.847 .659 2.805 .006 Costumer Focus .130 .146 .117 .893 .373 Continuous Improvement -.301 .077 -.3989 -3.896 .076 Employee Involvement -.240 .112 -.338 -4.355 .004 Top Management .211 .083 .138 3.330 .006 Supplier Management .225 .089 .278 2.513 .013 Questions: a. Are the hypotheses supported (H1, H2, H3, H4, H5)? Provide your explanation. b. What is the meaning of R Square (R2) = 0.579? c. Which independent variables have the highest impact on the dependent variable? Explain how you arrived at your conclusion.

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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Question

Suppose that you have several hypotheses to test, as follow:
H1: Costumer focus has a significant positive relationship with organization performance.
H2: Continuous improvement has a significant negative relationship with organization performance.
H3: Employee involvement has a significant negative relationship with organization performance.
H4: Top management support has a significant positive relationship with organization performance.
H5: Supplier management has a significant positive relationship with organization performance.
After you analyze the data using linear regression analysis, the result showed as follow:

MODEL SUMMARY
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.674a	0.579	0.467	0.833

ANNOVA
Model	Sum of Squares	df	Mean Square	F	Sig.
Regression	85.400	6	13.673	23.547	.000^b
Residual	140.500	195	.695
Total	218.500	198

a. Dependent Variable: Organization Performance

b. Predictors: (Constant), Customer focus, Continuous Improvement, Employee Involvement, Top Management, Supplier Management

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	sig.
1		B	Std. Error	Beta
	Constant)	1.847	.659		2.805	.006
	Costumer Focus	.130	.146	.117	.893	.373
	Continuous Improvement	-.301	.077	-.3989	-3.896	.076
	Employee Involvement	-.240	.112	-.338	-4.355	.004
	Top Management	.211	.083	.138	3.330	.006
	Supplier Management	.225	.089	.278	2.513	.013

Questions:
a. Are the hypotheses supported (H1, H2, H3, H4, H5)? Provide your explanation.
b. What is the meaning of R Square (R2) = 0.579?
c. Which independent variables have the highest impact on the dependent variable? Explain how you arrived at your conclusion.