Personal Finance (MindTap Course List)
13th Edition
ISBN: 9781337099752
Author: E. Thomas Garman, Raymond Forgue
Publisher: Cengage Learning
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Alexis Monroe, a biologist from Dyersburg, Tennessee, is curious about the accuracy of the interest charges shown on her most recent credit card billing statement.
Interest Charged
Interest Charge on Purchases
$6.40
Interest Charge on Cash Advances
$4.65
TOTAL INTEREST FOR THIS MONTH
$11.05
Use the average daily balances provided to recalculate the interest charges, and compare the result with the amount shown on the statement. Round your answers to the nearest cent.
Annual Percentage
Balances Subject to
Type of Balance
Rate (APR)
Interest Rate
Interest Charge
Purchases
15.14% (V)
$513.39
$
Cash Advances
22.43% (V)
$252.98
$
Balance Transfers
0.00%
$637.50
$
Penalty APR
28.99%
$ 0.00
$
Venus Waldo reviewed her account statement and wanted to verify that the interest amount was correct. Her new balance was $12,098.12 and her previous balance was $9,043.20. She had deposited $3,298.45 and withdrawn $300.00. Find the interest earned on Venus' savings account.
What if she had made the purchase with her credit card and paid off her bill in full promptly? Assume the credit card has a grace period.?
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Similar questions
- 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?arrow_forwardConsider 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?arrow_forwardOn May 1, the billing date, Kayla had a balance due of $673.64 on her credit card. In May, Kayla made a purchase of$264.03 on May 6, made a payment of$100 on May 22, and made another payment of$300 on May 28. Determine her finance charge on June 1 using the previous balance method. Assume that the interest rate is 3.15% per month. Then determine Kayla’s new balance on June 1.arrow_forward
- The table below shows a credit card balance 20 and 24 months after the Estuardo made one large purchase. After that he never used the card again. Given the following table, determine the value of Estuardo's initial purchase. The payment is a proportion of the balance due. Round your answer to the nearest penny. Month Balance 20 $1,272.25 24 $1,020.50arrow_forwardThe credit card with the transactions described on the right uses the average daily balance method to calculate interest. The monthly interest rate is 2.5% of the average daily balance. a. Find the average daily balance for the billing period. Round to the nearest cent.The average daily balance for the billing period is $_ B.Find the interest to be paid on April 1, the next billing date.Round to the nearest cent. C.Find the balance due on April 1.arrow_forwardA friend owns a business that extends credit to its customers. The friend has asked you to helps with estimating uncollectible accounts and wants you to make a recommendation. Specifically, your friend is asking: Which of the two methods of estimating uncollectible provides for the most accurate estimate of the current net realizable value of the receivables?arrow_forward
- Lizzie Gunderson is trying to establish a credit history and has a Visa charge card. She received a September 3 statement that shows a balance of $254.80 from the previous month. The statement shows the following transactions: payment on September 12 of $50, charge on September 15 of $35.18, charge on September 20 of $120, and a final charge on October 2 of $14.60. Calculate the average daily balance for September.arrow_forwardThe credit card with the transactions described in the popup below uses the average daily balance method to calculate interest. The monthly interest rate is 1.6% of the average daily balance. A. Find the average daily balance for the billing period. B.Find the interest to be paid on july 1, the next billing date. C.Find the balance due on july 1.arrow_forwardThe credit card with the transaction described in the popup below uses the average daily balance method to calculate interest.The monthly interest rate is 1.5% of the average daily balance. A.The average daily balance for the billing period. B.Find the interest to be paid on july 1,the next billing date. C.Find the balance due on july 1.arrow_forward
- Mr. VanJergen's credit card uses the average daily balance method for calculating interest. His balance for the first 12 days of October was $850.00. His balance for the rest of October was $2,495.00. What was his average daily balance?arrow_forwardTracy has the following transactions written down and plans on entering them into her register. Her starting balance is $178.85. She wrote checks for $37.12, $45.60, and got a check from her friend for $40 she owed her. What is Tracy's current balance in the account?arrow_forwardAnswer the questions based on the credit card statement attached. 1. What is the finance charge for the current billing period? 2. How much is the annual interest rate of his unpaid balance is over $500?Answer in: amount% For example 13% 3. How much is the annual percentage rate if he unpaid balance is less than $500? Example: 13% 4. What is the minimum payment due? 5. What is the total amount charged for purchases made during the previous month? 6. How much credit does Joan Berelli still have available? You must calculate this as it isn't given on the credit card statement. 7. What is the new balance?arrow_forward
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