hypotheses:

H$1$: the better the food quality, the greater the customers' satisfaction.

$H2$ : the better the restaurant's ambience, the greater the customers' satisfaction.

H$3$: the better the service quality, the greater the customers' satisfaction.$|$

After running the raw data, she derived the following statistical report from the statistical

software and it is illustrated as below:

SUMMARY OUTPUT

Regression Statistics

Multiple R $,0\mathrm{.}99794806$

R Square $,0\mathrm{.}99512648$

Adjusted R Square $,0\mathrm{.}99513164$

Standard Error $,1\mathrm{.}64839211$

Observations $,20$

ANOVA

$,dfSSMSF$ Significance $F$

Regression

Missing $,10561\mathrm{.}07486$ Missing $,1295\mathrm{.}585,2\mathrm{.}66E-19$

Total

Dependent variable: Customers' satisfaction

Question:

Based on the table above, critically evaluate outcomes of these variables. Justify your

answer based on the shown statistical result.

Based on your answer from part $($a$),$ assess the predictors has the greatest impact on

customers' satisfaction. Justify your answer based on the shown statistical result