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 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_forwardConsider 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_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
- Horizontal analysis : a. Is a technique for evaluating a series of financial statement data over a period of time. b. Is also known as trend analysis c. Is used to determine the increase or decrease that has taken place. d. Is expressed as either an amount or a percentage. e. All of the above.arrow_forward2) Ratios Based on the information given in picture #1, complete the following ratios for the last TWO years and indicate whether the trend is favorable or unfavorable. Note percentages and times should be to one decimal place (e.g. 14.8%; 5.8x) Profitability Ratios Current Yr. Prior Yr. Fav/Unfav. Gross Margin (%) {Gross Income/Sales Revenue} Profit Margin (%) {Net income/ Sales Revenue} Return on Assets (%) {Net Income/ Average Total Assets}arrow_forward2) Ratios Based on the information given in picture #1, complete the following ratios for the last TWO years and indicate whether the trend is favorable or unfavorable. Note percentages and times should be to one decimal place (e.g. 14.8%; 5.8x) Profitability Ratios Current Yr. Prior Yr. Fav/Unfav. Gross Margin (%) {Gross Income/Sales Revenue} Profit Margin (%) {Net income/ Sales Revenue} Return on Assets (%) {Net Income/ Average Total Assets}arrow_forward
- a. Compute the current ratio for the current year. (Abbreviations used: STI = Short-term investments. Round your answer to two decimal places, X.XX.) Current ratio More Info a. Current ratio b. Cash ratio c. Acid-test ratio d. Inventory turnover e. Days' sales in inventory f. Days' sales in receivables g. Gross profit percentage Print Done Choose from any list or enter any number in the input fields a Financial Statements Balance Sheet: Cash Short-term Investments Net Accounts Receivables Merchandise Inventory Prepaid Expenses Total Current Assets Total Current Liabilities Income Statement: Net Credit Sales Cost of Goods Sold $ Current Year Preceding Year 15,000 $ 11,000 56,000 64,000 13,000 159,000 132,000 465,000 317,000 29,000 27,000 94,000 82,000 7,000 239,000 89,000arrow_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 : (please check the images) 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) + Comment on each of the ratios calculated in part (a) above.arrow_forwarddont uplode any image in answerarrow_forward
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