Suppose you have the following variables: Customer satisfaction score (measured in points) 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 average customer satisfaction score based on a customer's income, age range, and location. Which method below would be an appropriate method to use? Question 6 options: logistic regression linear regression Pearson's Chi-Squared regression