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. RatingProbability of DefaultingExcellentp ? 0.05Good0.05 < p ? 0.10Fair0.10 < p ? 0.25 Poorp > 0.25To estimate this probability, she decided to use the logit model P = 
, wherey = a binary response variable which is 1 if the credit card is in default and 0 otherwisex1 = 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.VariableLogistic ModelIntercept?8.98 (p-value =
0.0089)x1 - Balance Ratio0.13 (p-value = 0.0054)x2 - Debt Ratio0.17 (p-value = 0.0067)Note: The p-values of the corresponding tests are shown in parentheses below the estimated coefficients.What is the estimated logit model?
What will be an ideal response?
= 
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