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.
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.
Unlock instant AI solutions
Tap the button
to generate a solution