Concept explainers
To identify:
The signals for any buy or sell by using table
Introduction:
Industry Analysis: It is a most important puppet which was used to compare a specified company's performance with the other's market in the same industry market.
Explanation of Solution
Given:
Table
Detailed explanation / work out of the complete problem.
Days | Moving average formula | Moving average | Action |
Selling point | |||
Buying point | |||
We see that in
And further, we see that
From the above, the selling point is
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Chapter 12 Solutions
Investments
- Determining gross profit During the current year, merchandise is sold for $8,780,000. The cost of the goods sold is $5,531,400. This information has been collected in the Microsoft Excel Online file. Open the spreadsheet, perform the required analysis, and input your answers in the questions below. Open spreadsheet a. What is the amount of the gross profit? Round your answer to the nearest dollar. b. Compute the gross profit percentage (gross profit divided by sales). Round your answer to the nearest whole number. C. Will the income statement always report a operating incomne? Yes No Previous earch 542 PM 5/3/2021arrow_forwardAssume that you are purchasing an investment and have decided to invest in a company in the digital phone business. You have narrowed the choice to Digitized Corp. and Very Network, Inc. and have assembled the following data. LOADING... (Click to view the income statement data.) Data Table Selected income statement data for the current year: Digitized Very Network Net Sales Revenue (all on credit) $418,290 $494,940 Cost of Goods Sold 210,000 256,000 Interest Expense 0 15,000 Net Income 62,000 70,000 (Click to view the balance sheet and market price data.) Data Table Selected balance sheet and market price data at the end of the current year: Digitized Very Network Current Assets: Cash $24,000 $21,000 Short-term Investments 42,000 19,000 Accounts Receivables, Net 36,000 46,000 Merchandise Inventory 67,000 98,000 Prepaid Expenses 22,000 18,000 Total…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_forward
- Mentha Company currently has the following statistics: . Days required to sell inventory: 80 Days required to collect accounts receivable: 68 What is the company's operating cycle?arrow_forwardGive me answer within 30 minutes please I will give you upvotes its very urgent ...thanku..arrow_forwardA sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is 9 = 81 + 4x. Years of Annual Sales Salesperson Experience ($1,000s) 1 1 80 2 3 97 3 4 102 4 102 5 6 103 6 8 101 7 10 119 B 10 123 9 11 127 10 (a) Compute SST, SSR, and SSE. SST= SSR= 13 136 SSE= (b) Compute the coefficient of determination (Round your answer to three decimal places.) P = Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line. O The least squares line…arrow_forward
- Based on the following data for the current year, what is the number of days' sales in receivable? Net sales on account during year $498,171 Cost of goods sold during year 163,215 Accounts receivable, beginning of year 42,207 Accounts receivable, end of year 51,640 Inventory, beginning of year 92,904 Inventory, end of year 119,969 Round your answer up to the nearest whole day. Select the correct answer. 88 days 78 days 120 days 34 daysarrow_forwardcould you please answer?arrow_forwardUse the following information to determine the Prior Year and Current Year trend percents for net sales using the Year as the base year Enter the answers thousands of dollars.arrow_forward
- Use a spreadsheet and the following excerpts from Hileah Companys financial information to build a template that automatically calculates (A) inventory turnover and (B) number of days sales in inventory, for the year 2018.arrow_forwardUse the following information to answer the questions that follow. A. Calculate the operating income percentage for each of the stores. Comment on how your analysis has changed for each store. B. Perform a vertical analysis for each store. Based on your analysis, what accounts would you want to investigate further? How might management utilize this information? C. Which method of analysis (using a dollar value or percentage) is most relevant and/or useful? Explain.arrow_forwardPresented in the left graph are trends in sales revenue and cash received from customers over a six-year period. In the right graph are trends in cost of goods sold and cash paid for inventory over a six-year period. All inventory is purchased with cash.arrow_forward
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