The following question requires analysis and interpretation of SPSS output provided in ATTACHMENT 1 AND 1b. Please read the overview of the study and problem statement and answer ALL the questions that follow.

UniLever is a relationship services provider targeted at the upper end of the market. UniLever conducts an initial personal interview and uses a proprietary system for matching compatible singles wanting to find a partner. UniLever also provides opportunities for its members to get together at activities such as wine tasting, Casino nights and high-end dinning. UniLever is interested in which factors influence their customers' level of satisfaction with them as their provider of relationship services. GB Consulting conducted an online survey of the customers of UniLever pre-COVID-19 to investigate this issue. The survey resulted in 402 completed responses.

In the survey, data was collected on customers' overall level of satisfaction with UniLever, and the types of value the customer derives from their relationship services. The types of value studied were monetary (UniLever is good value for money), convenience (I value the ease of using the UniLever service), social (using UniLever makes a good impression on other people), and emotional (using UniLever gives me pleasure). Overall satisfaction was measured as 'Overall, I am very satisfied with UniLever'. These variables were all measured on 7-point Likert-type scales ranging from 1=strongly disagree to 7=strongly agree. The age of the customer was also provided. A regression model was constructed to predict overall satisfaction on the basis of the independent value-based variables indicated above. ATTACHMENT 1 and 1 b is provided to assist you in answering this question.

a) Write out the equation for the regression model to predict overall satisfaction for UniLever. (4 marks)

b) Comment on the overall model fit.Support your answer with the appropriate evidence.(3 marks)

c) Rank the independent variables in terms of their relative importance in predicting overall satisfaction.Support your answer with the appropriate evidence.(3 marks)

d) Using the regression results, what advice would you offer to UniLever related to their marketing and service development to ensure its customers have a high level of overall satisfaction? (5 marks)

Regression Variables Entered/Removed Variables Variables Model Entered Removed Method Age, Enter Monetary Value, Social Value, Convenience Value, Emotional Values a. All requested variables entered. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 7118 .506 499 1.10493 a. Predictors: (Constant), Age, Monetary Value, Social Value, Convenience Value, Emotional ValueANOVA Sum of Model Squares df Mean Square F Sig Regression 487.321 5 97.464 79.832 000 Residual 476.139 390 1.221 Total 963.460 395 a. Predictors: (Constant), Age, Monetary Value, Social Value, Convenience Value, Emotional Value b. Dependent Variable: Overall Satisfaction Coefficients Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta t Sig. (Constant) .163 278 .584 559 Convenience .214 059 .178 3.632 .000 Value Monetary Value 077 071 064 1.085 .279 Emotional Value 370 045 415 8.134 000 Social Value .185 069 .172 2.684 008 Age -.002 .006 -.011 -.290 .772 a. Dependent Variable: Overall Satisfaction