I have conducted a survey on customer satisfaction based on the following proposed hypotheses: H1: The better the food quality, the greater the customers’ satisfaction. H2: The better the restaurant’s ambience, the greater the customers’ satisfaction. H3: The better the service quality, the greater the customers’ satisfaction. After running the raw data, I have derived the following statistical report from the statistical software and it is illustrated as below: SUMMARY OUTPUT Regression Statistics Multiple R 0.99794806 R Square 0.99512648 Adjusted R Square 0.99513164 Standard Error 1.64839211 Observations 20 ANOVA   df SS MS F Significance F Regression Missing 10561.07486 Missing 1295.585 2.66E-19 Residual 16 43.47514498 2.717197     Total 19 10604.55           Coefficients Standard Error t Stat P-Value Intercept 0.562 1.327 0.424 0.677 Food quality 0.959 0.038 25.245 0.000 Restaurant’s ambience 1.117 0.125 8.916 0.000 Service quality 1.460 0.066 22.185 0.000 Dependent variable: Customers’ satisfaction What I required are: Based on the table above, critically evaluate outcomes of these variables. Justify the answer based on the shown statistical result.  Based on the answer from part (1), assessing the predictors has the greatest impact on customers’ satisfaction. Justify the answer based on the shown statistical result.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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I have conducted a survey on customer satisfaction based on the following proposed hypotheses:

  • H1: The better the food quality, the greater the customers’ satisfaction.
  • H2: The better the restaurant’s ambience, the greater the customers’ satisfaction.
  • H3: The better the service quality, the greater the customers’ satisfaction.

After running the raw data, I have derived the following statistical report from the statistical software and it is illustrated as below:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.99794806

R Square

0.99512648

Adjusted R Square

0.99513164

Standard Error

1.64839211

Observations

20

ANOVA

 

df

SS

MS

F

Significance F

Regression

Missing

10561.07486

Missing

1295.585

2.66E-19

Residual

16

43.47514498

2.717197

 

 

Total

19

10604.55

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-Value

Intercept

0.562

1.327

0.424

0.677

Food quality

0.959

0.038

25.245

0.000

Restaurant’s ambience

1.117

0.125

8.916

0.000

Service quality

1.460

0.066

22.185

0.000

Dependent variable: Customers’ satisfaction

What I required are:

  1. Based on the table above, critically evaluate outcomes of these variables. Justify the answer based on the shown statistical result. 
  2. Based on the answer from part (1), assessing the predictors has the greatest impact on customers’ satisfaction. Justify the answer based on the shown statistical result.
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