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A marketing consultant for a cereal company investigates the effectiveness of a TV advertisement for a new cereal product. The consultant shows the advertisement in a specific community for one week. Then the consultant randomly samples adults as they leave a local supermarket to ask whether they saw the advertisements and bought the new cereal. The consultant also asks adults whether they had children and what their annual household income is.
You can use this data to demonstrate Fit Binary Logistic Model.
| Worksheet column | Description | Variable type |
|---|---|---|
| Bought | Whether the survey participant purchased the new cereal product: 0 = did not buy, or 1 = did buy | Response |
| Income | The annual household income of participants in thousands of dollars | Predictor |
| Children | Whether the survey participant has children: Yes or No | Predictor |
| ViewAd | Whether the survey participant had seen the new advertisements: Yes or No | Predictor |
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