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What is Logistic Regression Analysis of Purchase Decisions about?

The document outlines the results of a logistic regression and discriminant analysis conducted on a dataset containing 237 cases to predict purchase decisions based on various factors such as gender, income, and customer satisfaction. The logistic regression model achieved an overall accuracy of 97.5%, while the discriminant analysis correctly classified 92.8% of cases. Key variables influencing purchase decisions included previous purchase frequency, discount offers received, and customer satisfaction scor

Author

shrutishah964

Language

EN