We have a set of 8000 data points representing bank customers' behavior over the past year (each data point represents one customer): The support of (Overdraft) is 0.0500 The support of [UnpaidCredit CardBalance) is 0.2500 The support of (Overdraft, UnpaidCredit Card Balance) is 0.0375 For the the association rule with UnpaidCredit CardBalance as the premise, and Overdraft as the conclusion ("If UnpaidCredit CardBalance, then Overdraft"). What is the confidence?

We have a set of 8000 data points representing bank customers' behavior over the past year (each data point represents one customer): The support of (Overdraft) is 0.0500 The support of [UnpaidCredit CardBalance) is 0.2500 The support of (Overdraft, UnpaidCredit Card Balance) is 0.0375 For the the association rule with UnpaidCredit CardBalance as the premise, and Overdraft as the conclusion ("If UnpaidCredit CardBalance, then Overdraft"). What is the confidence?

EBK CONTEMPORARY FINANCIAL MANAGEMENT

14th Edition

ISBN:9781337514835

Author:MOYER

Publisher:MOYER

Chapter17: The Management Of Cash And Marketable Securities

Section: Chapter Questions

Problem 2P

See similar textbooks

Similar questions

Consider again the example introduced in Section 4.5 of a credit card company that has a database of information provided by its customers when the customers apply for credit cards. An analyst has created a multiple regression model for which the dependent variable in the model is credit card charges accrued by a customer in the data set over the past year (y), and the independent variables are the customers annual household income (x1), number of members of the household (x2), and number of years of posthigh school education (x3). Figure 4.23 provides Excel output for a multiple regression model estimated using a data set the company created. a. Estimate the corresponding simple linear regression with the customers annual household income as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers annual household income and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? b. Estimate the corresponding simple linear regression with the number of members in the customers household as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the number of members in the customers household and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? c. Estimate the corresponding simple linear regression with the customers number of years of posthigh school education as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers number of years of posthigh school education and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? d. Recall the multiple regression in Figure 4.23 with credit card charges accrued by a customer over the past year as the dependent variable and customers annual household income (x1), number of members of the household (x2), and number of years of posthigh school education (x3) as the independent variables. Do the estimated slopes differ substantially from the corresponding slopes that were estimated using simple linear regression in parts a, b, and c? What does this tell you about multicollinearity in the multiple regression model in Figure 4.23? e. Add the coefficients of determination for the simple linear regression in parts a, b, and c, and compare the result to the coefficient of determination for the multiple regression model in Figure 4.23. What does this tell you about multicollinearity in the multiple regression model in Figure 4.23? f. Add age, a dummy variable for gender, and a dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as independent variables to the multiple regression model in Figure 4.23. Code the dummy variable for gender as 1 if the customers gender is female and 0 if male, and code the dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as 1 if the customer has exceeded his or her credit limit in the past 12 months and 0 otherwise. Do these variables substantially improve the fit of your model?
Consider again the example introduced in Section 7.5 of a credit card company that has a database of information provided by its customers when they apply for credit cards. An analyst has created a multiple regression model for which the dependent variable in the model is credit card charges accrued by a customer in the data set over the past year (y), and the independent variables are the customers annual household income (x1), number of members of the household (x2), and number of years of post-high school education (x3). Figure 7.23 provides Excel output for a multiple regression model estimated using a data set the company created. a. Estimate the corresponding simple linear regression with the customers annual household income as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers annual household income and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year is explained by this simple linear regression model? b. Estimate the corresponding simple linear regression with the number of members in the customers household as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the number of members in the customers household and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year is explained by this simple linear regression model? c. Estimate the corresponding simple linear regression with the customers number of years of posthigh school education as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers number of years of posthigh school education and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year is explained by this simple linear regression model? d. Recall the multiple regression in Figure 7.23 with credit card charges accrued by a customer over the past year as the dependent variable and customers annual household income (x1), number of members of the household (x2), and number of years of post-high school education (x3) as the independent variables. Do the estimated slopes differ substantially from the corresponding slopes that were estimated using simple linear regression in parts (a), (b), and (c)? What does this tell you about multicollinearity in the multiple regression model in Figure 7.23? e. Add the coefficients of determination for the simple linear regression in parts (a), (b), and (c), and compare the result to the coefficient of determination for the multiple regression model in Figure 7.23. What does this tell you about multicollinearity in the multiple regression model in Figure 7.23? f. Add age, a dummy variable for sex, and a dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as independent variables to the multiple regression model in Figure 7.23. Code the dummy variable for sex as 1 if the customer is female and 0 if male, and code the dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as 1 if the customer has exceeded his or her credit limit in the past 12 months and 0 otherwise. Do these variables substantially improve the fit of your model?
Imagine that you are the financial analyst for XYZ Company. The organization is trying to determine why the collection of accounts receivable accounts has decreased by 30% over the last three months of this year. Would you utilize horizontal or vertical analysis to determine the decrease in account receivable collection? Explain your answer
Morrisom National Bank has requested an analysis of checking account profitability by customer type. Customers are categorized according to the size of their account: low balances, medium balances, and high balances. The activities associated with the three different customer categories and their associated annual costs are as follows: Opening and closing accounts $300,000 Issuing monthly statements $450,000 Processing transactions $3,075,000 Customer Inquiries $600,000 Providing ATM services $1,680,000 Total cost $6,105,000 Additional data concerning the usage of the activities by the various customers are also provided: Account Balance Low Medium HighNumber of accounts opened/closed 22,500 4,500 3,000 Number of statements issued 675,000 150,000 75,000 Processing transactions 27,000,000 3,000,000 750,000 Number of telephone minutes 1,500,000 900,000 600,000 Number of ATM…
Goose Company has gathered the following information in relation to its checking account in BDO for the month of April  Balance per books April 30, P750,000; per bank statement April 30, P815,000  Deposits still in transit at April 30 was P80,000  NSF checks returned by the bank in April was P90,000 and April charges amounted to P20,000  Checks issued but have not yet cleared by April 30 was P50,000  Proceeds from loan directly credited to Goose Company's account amounted to P200,000, while interest on deposits amounted to P5,000 a. The adjusted balance per book is b. The adjusted balance per bank is 9. The cash account of Iguana Company disclosed a balance of P1,128,240 on October 31, while the bank statement showed a balance of P1,470,300. Comparing the statement with the cash records, the following facts were developed  Customer's note discounted on October 12; dishonored October 26 and the bank charge Iguana Company, P305,000 which included a service charge of P5,000 …
A customer in a bank has made a balance withdrawal transaction in the last 30 days. In the last 28 days, the customer routinely made cash withdrawals of $100000. In the last two days, this customer made a withdrawal amounting to$7500000 and $5000000. Based on the transaction data, which value is the most appropriate to describe the central tendency of the distribution of customer cash withdrawal data? a) $510000 b) $100000 c) $275000 d) $426000
you are given the following data in connection with your audit of the cancer company: balance per bank statement, november 30, 3,600,000; deposit in transit, 800,000; outstanding checks, 1,200,000; bank credit recorded in error, 200,000; data per bank statement for the month of december follow: december deposits, including note collected of p1,000,000 for cancer, 5,500,000; december disbursements, including nsf customer check of p350,000 and service charge p50,000,4,400,000. all items that were outstanding on november 30 cleared through the bank in december including the bank credit. in addition, checks amounting to p500,000 were outstanding and deposits of p700,000 were in transit on december 31. what is the amount of cash receipts per books in december? *
I'm studying for a test and I want to know how to do each question for it, can you walk me through step by step how to solve this one? The following data concern XYZ Corporation for 2018:Bad debts expense for the year 11,000Accounts receivable—December 31, 2018 235,000Credit sales during the yearAllowance for doubtful accounts—December 31, 20181,600,00018,000 Calculate the net realizable value of the accounts receivable.
loat is defined as the difference between the balance shown on the books and the balance in the bank account. A lag often occurs between the time receipts and disbursements are recorded on the company’s books and when the transactions clear the bank. Consider the following scenario: Sandberg Industries received a $100,000 check from one of its customers, deposited it into its bank account, and recorded it in its bank register. The funds were reflected in Sandberg’s bank account two days later. What type of float does this scenario describe? a)Collection float b)Disbursement float c)Net float Next, consider the case of Windsor Flooring Company: The management at Windsor Flooring has determined that it takes an average of eight days for checks the company writes to clear its bank account. Cash receipts from customers are reflected in Windsor’s bank account an average of four days after the checks are received. On an average day, Windsor writes checks…
The following bank reconciliation is presented for OOO Company for the monthof November of the current year: Balance per bank statement, November 31 3,600,000 Add: Deposit in transit 800,000 4,400,000 Less: Outstanding checks 1,200,000 Bank credit recorded in error 200,000 1,400,000 Balance per book, November 30 3,000,000 Data per bank statement for the month of December follow: December deposits (including note collected of P1,000,000 for OOO) 5,500,000 December disbursements (including NSF, P350,000 and Service charge, P50,000) 4,400,000 All items that were outstanding on November 30 cleared through the bank inDecember, including the bank credit. In addition, checks amounting toP500,000 were outstanding and deposits of P700,000 were in transit ofDecember 31. 16.What is the cash balance per ledger on December 31? 17. What is the amount of cash receipts per book in December? 18. What is the amount of cash disbursements per book in December? 19. What is the adjusted bank…
Alexa Company had the following bank reconciliation on June 30: Balance per bank statement, June 30 - 3,000,000; Deposit in transit - 400,000; Outstanding checks - 900,000. The bank statement for the month of July showed the following: Deposits, including 200,000 note collected for Alexa - 9,000,000; Disbursements, including 140,000 NSF customer check and 10,000 service charge - 7,000,000. All reconciling items on June 30 cleared through the bank in July. The outstanding checks totaled 600,000 and the deposit in transit amounted to 1,000,000 on July 31. What is the adjusted cash in bank on July 31?
Best Exports has noticed their current year net income is only $60,000. In order to get a loan from their bank to assist the business they will need to provide a statement of cash flows. In reviewing the statement of cash flows, you notice a large increase ($80,000) in accounts receivable due to two of your largest customers being behind in payments. Since the bank looks at the operating activities, this increase will create concern. You make a suggestion to reclassify the accounts receivables to long-term, thus removing them from current assets will increase the net cash from operations. Under what circumstances would this reclassification be considered ethical or unethical? Support your selection by finding an article which explains your choice.