Consumer Research, Inc. studies whether there is a correlation between specific characteristics of credit card users and the amount those users charge on credit cards. Their goal is to determine whether these features can accurately predict the annual amount charged by credit card users. Data was collected from a sample of 50 credit card consumers with information on annual income (referred to as income), household size (referred to as household), and annual credit card fees (referred to as fees) for these consumers. A statistical analysis; including simple descriptive regression and multiple regression tests of these data were performed and the results are presented below. Due to uncertainty in the predicted population size relative to the data sample size, any inferences arising from this analysis are observations only and should not be applied as absolute results to the with regard to the entire population of credit card consumers. Descriptive statistics were carried out for each of the three characteristics (variables), Expenses, Income and Household, of the survey. The sample data reveals that the average credit card user has an income of $43,480, a household of 3.4 people, and credit card fees of $3,964. To determine whether there is a relationship between expenses and income, or between expenses and household, a scatterplot illustrates a positive relationship for both consumer characteristics (Table 1). However, there is no apparent relationship between income and household size. This finding clarifies that the two traits are indeed independent of each other and are good variables to use to determine multiple trait effects on creation...... middle of paper ...... m 2 $862 and $4,536. While statistical analysis Examples of data collected by Consumer Research, Inc. indicate that a consumer's annual income and household size can be used to determine the annual amount charged to their credit card, an implementation custody must be taken into account. These two characteristics appear to have a strong correlation; however, the overall correlation is not exhaustive. Other factors that may contribute to the use of credit cards are the age, gender and martial status of the consumer. Additionally, the interest rate and the number of credit cards the consumer owns (uses) should be considered, as this information will greatly affect the amount of the annual fee for a particular credit card. It is advisable to carry out another study using more characteristic variables to better determine the best possible prediction model...