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Suppose you have the following variables: High customer satisfaction (yes/no) income (measured in dollars) age range: Less than 25, 25-34, 35-54, 55+ location: categorical variable

Suppose you have the following variables: High customer satisfaction (yes/no) income (measured in dollars) age range: Less than 25, 25-34, 35-54, 55+ location: categorical variable with 10 different locations You would like to predict the proportion of customers who are highly satisfied based on a customer's income, age range, and location. Which method below would be an appropriate method to use? Question 13 options: Pearson's Chi-Squared regression linear regression logistic regression

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