Problem 10.1 Financial Condition of Banks. The file Banks.csv includes data on a sample of 20 banks. The "Financial Condition\" column records the judgment of an expert on the financial condition of each bank. This outcome variable takes one of two possible valuesweak or strongaccording to the financial condition of the bank. The predictors are two ratios used in the financial analysis of banks: Toths&:Lses/Assets is the ratio of total loans and leases to total assets and TotExp/Assets is the ratio of total expenses to total assets. The target is to use the two ratios for classifying the financial condition of a new bank. Run a logistic regression model (on the entire dataset) that models the status of a bank as a function of the two financial measures provided. Specify the success class as weak (this is similar to creating a dummy that is 1 for financially weak banks and 0 otherwise), and use the default cutoff value of 0.5. a. Write the estimated equation that associates the nancial condition of a bank with its two predictors in three formats: i. The logit as a function of the predictors ii. The odds as a function of the predictors iii. The probability as a function of the predictors b. Consider a new bank Whose total loans and leases/assets ratio = 0.6 and total expenses/assets ratio = 0.11. From your logistic regression model, estimate the following