Sandhills Bank would like to increase the number of customers who subscribe to payroll direct deposit as part of the rollout of its new e-banking platform. Management has proposed offering an increased interest rate on a savings account if customers subscribe to direct deposit into a checking account. To determine whether this proposal is a good idea, management would like to estimate how many of the 200 current customers who do not use direct deposit would accept the offer. The IT company that handles Sandhills Bank’s e-banking has provided anonymized data for 1,000 customers from one of its other client banks that made a similar promotion to increase direct deposit participation. For these 1,000 customers, each observation consists of the average monthly checking account balance and whether the customer signed up for direct deposit. In the file Sandhills, these data are split so that 600 observations are in the training set and 400 observations are in the validation set. Sandhills has designated the data corresponding to its 200 current customers as the test set. The Customer worksheet contains the average monthly balance data for Sandhill’s 200 customers that would be the target of the direct-deposit promotion. Sandhills would like to estimate the likelihood of these customers signing up for direct deposit. Required:
Create a standard partition of the data.