Answer:
a. The predicted amount of debt on a credit card with a 20 percent interest rate can be calculated using the regression model:
In Amount_On_Card = 8.00 - 0.02 * Interest_Rate
Substituting the given interest rate value:
In Amount_On_Card = 8.00 - 0.02 * 20
In Amount_On_Card = 8.00 - 0.4
In Amount_On_Card = 7.6
Therefore, the predicted amount of debt on a credit card with a 20 percent interest rate is approximately 7.6 (in natural log form).
b. The sentence using the estimated regression coefficients can be completed as follows:
"I expect individual A to have debt on the card that is _____________ (include all decimals) _________ (unit of measurement) _____________ (higher/lower/equal) than individual B."
Given the regression model, the coefficient for the interest rate variable is -0.02. Therefore, the sentence can be completed as:
"I expect individual A to have debt on the card that is 0.02 (unit of measurement) lower than individual B."
c. The sentence to interpret the coefficient on the interest rate can be completed as follows:
"If interest rates increase by 1 _____________ (unit of measurement), we predict a _____________ (magnitude of the change) _____________ (unit of measurement) increase in the amount of debt on the credit card, controlling for card limit, the total number of other cards, and whether it is December or not. This change will be _____________ (increase/decrease/no change) in the debt amount."
Given that the coefficient on the interest rate variable is -0.02, the sentence can be completed as:
"If interest rates increase by 1 percent, we predict a 0.02 (unit of measurement) decrease in the amount of debt on the credit card, controlling for card limit, the total number of other cards, and whether it is December or not. This change will be a decrease in the debt amount."
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