Reasons of In-accurate Predictions of Customers' Purchases and Their Measures
Limited Number of Cases
The reason of inaccurate predictions of customers' purchases include the limited number of cases which reflects that the total number of cases should be n = 30 which is the assumption of linear regression model. For that reason, if the total number of cases is not sufficient that is less than 30 shows that the regression analysis cannot applied to the data of customers' purchases as the assumption of the linear regression model is not met. Therefore, it is imperative and essential that the same size of ...