a.
To calculate: The ratio of net income to total assets for each year of the Jolie Foster Care Homes Inc. Also, comment on the trend.
Introduction:
Ratio of net income to total assets:
It is used to compute the
b.
To calculate: The ratio of net income to shareholder’s equity for each year of the Jolie Foster Care Homes Inc. Comment on the trend b and determine the reason for the difference in trends between parts (a) and (b).
Introduction:
Ratio of net income to shareholder’s equity:
It is used to compute the accounting value of the shareholder’s equity for the firm. It shows how efficiently a company uses its capital to generate profits.
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Foundations of Financial Management
- 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_forwardAlex is currently considering to invest his money in one of the companies betweenCompany A and Company B. The summarized final accounts of the companies for theirlast completed financial year are as follows: (refer to the images) Required:a. Calculate the following ratios for Company A and Company B. State clearly theformulae used for each ratio:i. Gross Profit Marginii. Net Profit Marginiii. Inventory Turnover Period (days)iv. Receivables Collection Period (days)v. Payables Payment Period (days)vi. Current Ratiovii. Quick Ratiob. Comment on each of the ratios calculated in part (a) above.arrow_forward
- Solve and perform the different financial ratios using the financial statements of XYZ Company for the year 2021. 1. Current Ratio 2. Quick Ratio 3. Receivables Turnover 4. Inventory Turnover 5. Debt Ratio 6. Equity Ratio 7. Times Interest Earned 8. Gross Profit Margin 9. Operating Profit Margin 10. Net Profit Marginarrow_forwardPrepare a comparative common-size income statement for Jubilee Corporation. To an investor, how does the current year compare with the prior year? Explain your reasoning. E (Click the icon to view the comparative income statement.) Data table Start by calculating the percentages. (Round the percentages to two decimal places, X.XX.) Jubilee Corporation Comparative Common-Size Income Statement A C For the Years Ended December 31 1 Jubilee Corporation Current 2 Income Statement year Prior year 3 For the Years Ended December 31 Sales revenues 100.00 % 100.00 % 4 (amounts in thousands) Less: Cost of goods sold % % Current Gross profit % % year Prior year Less: Operating expenses % 6 Sales revenues $ 494,208 $ 429,000 % Operating income % 7 Less: Cost of goods sold 172,640 160,000 Less: Interest expense 8 Gross profit 2$ 321,568 $ 269,000 0% Income before income taxes % % 9 Less: Operating expenses 143,370 135,000 Less: Income tax expense 10 Operating income 2$ 178,198 $ 134,000 % % 11 Less:…arrow_forwardWhich of the following is a technique for reviewing relationships on an income statement by assigning net sales as 100%? A. Ratio analysis. B. Current ratio. C. Horizontal analysis. D. Vertical analysis.arrow_forward
- Question 1 Mabel is a potter and sells her pottery at stalls that she rents in four tourist information centres across the south of England. Extracts from her financial statements for the years ended 31 December 2021 and 2020 are shown below. Statement of profit or loss for the year ended 31 December: 2021 28,900 |(16,500) 12,400 (3,800) 8,600 |(4,000) 4,600 2020 Revenue 27,200 (14,000) 13,200 (3,600) 9,600 Cost of sales Gross profit Operating expenses Operating profit Non-operating expenses Net profit 9,600 Statement of financial position as at 31 December: 2021 Non-current assets Current assets Total assets 22,660 4,360 27,020 2020 20,920 3,750 24,670 Equity Non-current liabilities Current liabilities Equity and liabilities 20,940 3,000 3,080 27,020 16,340 3,500 4,830 24,670 The following information is also relevant: In July 2021 the rent on one of Mabel's stalls was increased significantly for the third time in three years so she decided not to renew the annual contract. She sold…arrow_forwardRequired: Compute the following: (For Requirements 1 to 4, enter your percentage answers rounded to 2 decimal places (i.e., 0.1234 should be entered as 12.34).) 1. Gross margin percentage. 2. Net profit margin percentage. 3. Return on total assets. 4. Return on equity. 5. Was financial leverage positive or negative for the year? 1. Gross margin percentage % 2. Net profit margin percentage % 3. Return on total assets % 4. Return on equity % 5. Financial Leveragearrow_forwardI need help figuring: G. operating profit margin H. Long-term debt ratio (use end of year balance sheet figure) I. Total debt ratio (use end of your balance sheet figures) J. Times interest earn K. Cash coverage ratio L. Current ratio (use end of your balance sheet figures) M. Quick ratio (use end of your balance sheet figures)arrow_forward
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