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A Data Analyst for a Small Chain of Boutique Hotels

question 13

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A data analyst for a small chain of boutique hotels was interested in what shaped guest satisfaction with their hotel stays. He decided to build a multi-level linear model. Because he had not run one before he decided to build the model in stages, starting with a basic linear model. His outcome variable was Satisfaction, which measured guest satisfaction on a ten-point scale. His initial parameters were Satisfactionx (guests' satisfaction with the hotel chain prior to them staying, measured on a ten-point scale) and Duration (measuring duration of each guest's stay in days) . He ran the model and found that Satisfaction2 had a p = 0.05 (b = -1.69) and Duration had a p = 0.01 (b = 0.665) . How would you interpret this?


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