Multiple Regression Analysis Based Consumer Behavior Prediction for Marketing Multiple Regression Analysis Based Consumer Behavior Prediction for Marketing
The profitability of business is determined by the behavior of customers, which may vary according to the needs and time scale. The behavior depends on several factors including age, gender, lifestyle, personality and so on. In addition, to all these factors the time of occurrence has great impact on the products to be bought by the customer. The combination of items bought increases the sales of one item with dependent on the other item. In this paper, the customer behavior is analyzed using multivariate regression strategy to consider several factors of the buyer. The grocery items are utilized to predict the customer behavior in purchase. The cultural, social, personal and psychological factors are also considered in the purchasing point of view. The hypothesis is tested based on the factors and the items purchased by various social group.
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