1. The file "P14_02.xlx" contains data on 100 customers who drink beer. Some of them prefer light beer, and others prefe

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1. The file "P14_02.xlx" contains data on 100 customers who drink beer. Some of them prefer light beer, and others prefe

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1 The File P14 02 Xlx Contains Data On 100 Customers Who Drink Beer Some Of Them Prefer Light Beer And Others Prefe 1
1 The File P14 02 Xlx Contains Data On 100 Customers Who Drink Beer Some Of Them Prefer Light Beer And Others Prefe 1 (177.49 KiB) Viewed 23 times
1. The file "P14_02.xlx" contains data on 100 customers who drink beer. Some of them prefer light beer, and others prefer regular beer. A major beer producer believes that the following variables might be useful in discriminating between these two groups: gender, martial status, annual income level, and age. (a) Use logistic regression to classify the consumers on the basis of these ex- planatory variables. How successful is it? Which variables appear to be most important in the classification? (b) Consider a new customer: Male, Married, Income $42,000, Age 47. Use the logistic regression equation to estimate the probability that this customer prefers Regular. How would you classify this person? (c) Discretize the Income and Age variables according to their quartiles. Then use the naive Bayes procedure to classify the 100 customers as having Regular or Light preference. Based on these results, consider a new customer: Male, Married, Income $42,000, Age 47. How would you classify this customer?
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