# Question: Shown below is Minitab output from a logistic regression analysis

Shown below is Minitab output from a logistic regression analysis to develop a model to predict whether a shopper in a mall store will purchase something by the number of miles the shopper drives to get to the mall store. The original data were coded as 1 if the shopper purchases something and 0 if they do not. Study the output and determine the model.

Discuss the strength or lack of strength of the model and the predictor. Use the output to compute the predicted probability that a person would purchase something if he/she drives 5 miles to get to the store. Now calculate the probabilities for 4 miles, 3 miles, 2 miles, and 1 mile. What happens to the probability over thesevalues?

Discuss the strength or lack of strength of the model and the predictor. Use the output to compute the predicted probability that a person would purchase something if he/she drives 5 miles to get to the store. Now calculate the probabilities for 4 miles, 3 miles, 2 miles, and 1 mile. What happens to the probability over thesevalues?

## Answer to relevant Questions

The Minitab output displayed here is the result of a multiple regression analysis with three independent variables. Variable x1 is a dummy variable. Discuss the computer output and the role x1 plays in this regression model.Using the following data determine the values of MAD and MSE. Which of these measurements of error seems to yield the best information about the forecasts?Why?The “Economic Report to the President of the United States” included data on the amounts of manufacturers’ new and unfilled orders in millions of dollars. Shown here are the figures for new orders over a 21-year ...Use the data in Problem 15.17 to compute a regression model after recoding the data by the first-differences approach. Compute a Durbin-Watson statistic to determine whether significant autocorrelation is present in this ...Following are the average yields of long-term new corporate bonds over a several-month period published by the Office of Market Finance of the U.S. Department of the Treasury..:.a. Explore trends in these data by using ...Post your question