(Hint: Copy and paste the SPSS output results onto the answer in order to help you to analyze and also obtain the partial credit in case that you cannot finish the whole analysis):
1. Based on your analysis of the data, what are the factors that people consider important in making casual dining restaurant? (or How did all surveyed customers finally rank the importance of the four selection factors reflected by questions 26- 29?). (.5 points)
2. Test the hypothesis whether the average income of Jose’s Southwestern café customers equals $80,000. (.5 points)
3. Based on your analysis of the data, does Santa Fe Grill customers differ from Jose’s Southwestern café customers in terms of gender? (.5 points)
4. Based on your analysis of the data, does Santa Fe Grill customers differ from Jose’s Southwestern café customers in their lifestyle? (.5 points)
5. Based on your analysis of the data, is there any difference in the mean ratings for Having Friendly Employees (X12) and Having Knowledgeable Employees (X19) at Santa Fe Grill Restaurant? (.5 points)
6. Find out whether the Santa Fe Grill customers’ likelihood to return (X23) differs in terms of their distance driven to the restaurant (X30). (.5 points)
7. Run a n-way ANOVA analysis to find out whether customers who come to the restaurant from greater distances differ from customers who live nearby in their willingness to recommend the restaurant, as well as the difference in wiliness to recommend, if any, is influenced by the gender of customers. (.5 point )
8. Run a Pearson correlation for variables X22 Satisfaction and X23 Likely to Return and draw a conclusion. (.5 points)
9. Run a multiple linear regression analysis for the data on all cases, using the X24 Likely to Recommend as the dependent variable and X12 to X21 as the independent variables. Write down the final regression equation based on your analysis result and interpret the result. (1 point)