Question: Problem 13 The following data (google adwords.xisx) comes from a campaign run by a retailer for a period of 1 month. The retailer bought a

Problem 13 The following data (google adwords.xisx) comes from a campaign

Problem 13 The following data (google adwords.xisx) comes from a campaign run by a retailer for a period of 1 month. The retailer "bought" a set of adwords from Google and monitored the performance of those adwords over this time period. We have daily data on the following variables, - Whether any sale can be attributable to the adword (SALE [Yes or NoD) - Number of Clicks (CLICKS) generated by the adword - Number of impressions (IMPS) adword gets - The average position (AvgPOS) occupied by the adword Investigate the relationship between probability of getting a sale and these other covariates. a. Estimate a model where the dependent variable is SALE and the other variables are explanatory variables. b. Interpret the impact of CLICKS on SALE C. Interpret the intercept (constant) in the model

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*** MOST IMPORTANT - DO NOT USE MINITAB. ONLY USE MS-EXCEL. ADD SCREENSHOTS IN YOUR ANSWER*** Please note that because the SALE is a dependent variable that is Categorical, you must use Logistic...

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