The Data Analyst Decided to Run a Five Parameter Multi-Level

The data analyst decided to run a five parameter multi-level linear model, using the same outcome variable Satisfaction, which measured guest satisfaction on a ten-point scale. He now had five parameters in his model: Satisfactionx (guest' satisfaction with the hotel chain prior to them staying, measured on a ten-point scale) ; Sex (guests' gender) ; Age (guests' ages) ; Hotel (the 8 hotels in the chain) ; and Duration (measuring duration of each guest's stay in days) . The log-likelihood for the five-parameter model was 1689. How does this compare to his previous model?

A) The five parameter model is no better a fit than the previous one
B) The previous model was a better fit
C) The five parameter model is a better fit
D) Both models are flawed