Your manager doesn't know much about analytics. That is too bad, but don't worry, you'll have his job soon enough. In the meantime he has made the following comments. If his suggestions / comments are good ones, explain why; if they are bad ones, explain why and what you should do to fix them or do better. Make sure your answer demonstrates that you have a sophisticated understanding of the issues involved. a. "If the p-value for the 'joint F-test' is too large - say greater than 0.05 - there is really no point in looking at the rest of the regression output. The model is just plain crap." 3 marks b. "When you detect an outlier, you should just replace it with the mean value of the dataset." 3 marks C. "When conducting a hypothesis test, like the t-test, you should always set alpha = 0.05." 3 marks d. "Our hotel did a customer satisfaction survey for all the guests who visited last weekend. The results were plagued by heteroskedasticity, so we basically had to scrap the results and start again." 3 marks