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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. What are the conclusions of the tests of individual significance for the balance ratio and the debt ratio at the 1% level? 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. What are the conclusions of the tests of individual significance for the balance ratio and the debt ratio at the 1% level? , 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. What are the conclusions of the tests of individual significance for the balance ratio and the debt ratio at the 1% level? Note: The p-values of the corresponding tests are shown in parentheses below the estimated coefficients.
What are the conclusions of the tests of individual significance for the balance ratio and the debt ratio at the 1% level?

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