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A Bank Manager Is Interested in Assigning a Rating to the Holders

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A bank manager is interested in assigning a rating to the holders of credit cards issued by her bank. The rating is based on the probability of defaulting on credit cards and is as follows. A bank manager is interested in assigning a rating to the holders of credit cards issued by her bank. The rating is based on the probability of defaulting on credit cards and is as follows.   To estimate this probability, she decided to use the logit model, P =   , where y = a binary response variable which is 1 if the credit card is in default and 0 otherwise x<sub>1</sub> = the ratio of the credit card balance to the credit card limit (in %) x<sub>2</sub> = the ratio of the total debt to the annual income (in %) The following output is obtained.   Note: The p-values of the corresponding tests are shown in parentheses below the estimated coefficients. Assuming the debt ratio 30%, compute the increase in the probability of defaulting when the balance ratio goes up from 5% to 15%. To estimate this probability, she decided to use the logit model,
P = A bank manager is interested in assigning a rating to the holders of credit cards issued by her bank. The rating is based on the probability of defaulting on credit cards and is as follows.   To estimate this probability, she decided to use the logit model, P =   , where y = a binary response variable which is 1 if the credit card is in default and 0 otherwise x<sub>1</sub> = the ratio of the credit card balance to the credit card limit (in %) x<sub>2</sub> = the ratio of the total debt to the annual income (in %) The following output is obtained.   Note: The p-values of the corresponding tests are shown in parentheses below the estimated coefficients. Assuming the debt ratio 30%, compute the increase in the probability of defaulting when the balance ratio goes up from 5% to 15%. , where
y = a binary response variable which is 1 if the credit card is in default and 0 otherwise
x1 = the ratio of the credit card balance to the credit card limit (in %)
x2 = the ratio of the total debt to the annual income (in %)
The following output is obtained. A bank manager is interested in assigning a rating to the holders of credit cards issued by her bank. The rating is based on the probability of defaulting on credit cards and is as follows.   To estimate this probability, she decided to use the logit model, P =   , where y = a binary response variable which is 1 if the credit card is in default and 0 otherwise x<sub>1</sub> = the ratio of the credit card balance to the credit card limit (in %) x<sub>2</sub> = the ratio of the total debt to the annual income (in %) The following output is obtained.   Note: The p-values of the corresponding tests are shown in parentheses below the estimated coefficients. Assuming the debt ratio 30%, compute the increase in the probability of defaulting when the balance ratio goes up from 5% to 15%. Note: The p-values of the corresponding tests are shown in parentheses below the estimated coefficients.
Assuming the debt ratio 30%, compute the increase in the probability of defaulting when the balance ratio goes up from 5% to 15%.

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