Case problem: Consumer Research, Inc. Consumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviours for a variety of firms. In one study, a client asked...


Case problem: Consumer Research, Inc.


Consumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviours for a variety of firms. In one study, a client asked for an investigation of consumer characteristics that can be used to predict the amount charged by credit card users. Data were collected on annual income, household size, and annual credit card charges for a sample of 20 consumers.


Managerial Report: Use the regression technique, students need to include the following in their report.


1) Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings.


2) Develop an estimated regression equation with annual income and household size as the independent variables. Discuss your findings.


3) Discuss the need for other independent variables that could be added to the model. What additional variables might be helpful?














































































































Income ($1000s)Household SizeAmount Charged ($)
5423348
6524764
6314110
4224208
3744219
6232477
2132514
4043348
6614764
5124110
2534208
4844219
2712477
3322514
6534214
6344965
4264412
3722448
6212995
2154171


Jun 10, 2022
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