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After properly analyzing and running a regression on customer spending data from a local grocery store, you find: Spending = 11.5 + 7.5*(Income) + 6.19*(Satisfaction)
After properly analyzing and running a regression on customer spending data from a local grocery store, you find: Spending = 11.5 + 7.5*(Income) + 6.19*(Satisfaction) Where Spending = average weekly spending of a customer, Income = customer's monthly income in thousands of $, and Satisfaction = average satisfaction level of a customer (on a scale 1-5). Assume that all the regression variables and the intercept are statistically significant, and that the sample size is sufficiently large. What is the expected weekly spending of a customer who earns $5,000 a month and the satisfaction level is 4? Question 18 options: $62.26 $73.76 $60.95 $72.45
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