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As agent time is a cost to their business, BUPA may also be interested in predicting lcall_duration (the natural log of call_duration). Design a regression model to predict lcall_duration. Choose the explanatory variables to include, and whether to include them as dummies/ logs/ polynomials/ interactions as you feel appropriate. Present the results of the descriptive statistics and your final regression model in tables. Discuss the statistical significance of the explanatory variables in your model. Discuss how you have designed your model with reference to the “Gauss Markov” assumptions and whether these assumptions are likely to be met. Interpret the results of THREE of your explanatory variables, which you consider to be the key driversof lcall_duration (ie the length of the call). Do NOT include the variables net_promoter_score, nps_group3, sentiment_score_cust, call_duration or call_durationsq in your model.
(10 marks) (400 words, 2 tables, 3 calculations)
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