ListenFive people were asked their age and how many pairs of shoes they owned. Theresults are displayed in the scatterplot below.Which of the following statements are true and which are false?**HINT** The explanatory variable is on the x-axis. The x-coordinate representsthe age, and the y-coordinate represents the number of pairs of shoes.Number of Pairs of Shoes by AgeNumber of Pairs of Shoes302515(32, 17)105102030Age (years)FalseTrueAdd an answer item!Add an answer item!Answer Bank4050There is a positive correlation between a person's age in years and thenumber of pairs of shoes they own.The slope of the linear regression line used to model the data will be nega-tive.The point (32, 17) represents someone who is 32 years old and has 17pairs of shoes.Since the points do not consistently decrease, it is a weak correlation.

Step 1: Since the regression line is going upward to downward, and after first point, points suggest…

Answered: Listen Five people were asked their age…

Financial And Managerial Accounting

15th Edition

ISBN:9781337902663

Author:WARREN, Carl S.

Publisher:WARREN, Carl S.

Chapter11: Liabilities: Bonds Payable

Section: Chapter Questions

Problem 3MAD

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Create a two-variable data table as follows to provide the comparison that Liam requests: a)In cell A12, enter a formula without using a function that references the Monthly_Payment amount (cell D6) because Liam wants to compare the monthly payments. b) Based on the range A12:D25, create a two-variable data table that uses the term in months (cell D5) as the row input cell and the rate (cell D4) as the column input cell.
Assume a jeweler paid $1,000 for a watch and sold it for $4,000. What would be his markup based on cost? Show calculations. What would be his markup based on selling price? Show calculations.
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?
A Wall Street Journal subscriber survey asked 46 questions about subscriber characteristics and interests. State whether each of the following questions provides categorical or quantitative data. a. What is your age? b. Are you male or female? c. When did you first start reading the WSJ? High school, college, early career, midcareer, late career, or retirement? d. How long have you been in your present job or position? e. What type of vehicle are you considering for your next purchase? Nine response categories include sedan, sports car, SUV, minivan, and so on.
5. Which bike part contributed the most sales in 2021? Please enter the number assigned to this bike part. What is the amount of sales contributed by this bike part (round to the nearest whole number)?
The accompanying Homeownership spreadsheet contains a partially completed spreadsheet model for computing the monthly costs of home ownership. Complete the spreadsheet model by Inserting the formulas for monthly mortgage payment (B12), monthly property tax (813), monthly homeowner insurance premium (B14), monthly maintenance costs (B15), and total (B16) in the appropriate cells. Click here for the Excel Data File a. Is this a deterministic or stochastic model? Is this a deterministic or stochastic model?
Acme Shoes marked up a pair of shoes from the $43.00 cost to $75.00. To the nearest 0.01%, what is the rate of markup on cost? Not 57.33%
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Open P2WORK4 and click the Chart sheet tab. On the screen, a pie chart shows the percentage composition of the total expenses of Sports Connection. Enter the percentages in the spaces provided. Compare the percentages of Sports Connection with the national statistics provided. Comment on the differences noted. Why might depreciation, utilities, and rent (as a group) be so far off from the national percentages? Any explanation for salaries? Cost of goods sold? When the assignment is complete, close the file without saving it again. TICKLERS (optional) Worksheet. You prepared a balance sheet in requirement 5. Add a new sheet to P2WORK4 and prepare a balance sheet on it using the same format and values from requirement 5. Enter formulas in the balance sheet to reference the appropriate balance sheet cells in the worksheet. Use proper formats for all value cells. Enter your name above the balance sheet. Preview the balance sheet printout to make sure that it will print neatly on one page, and then print the worksheet. Save the completed file as P2WORKT. Chart. Using the P2WORK4 file, create a column chart showing the dollar total of each of the expenses (except Cost of goods sold) of Sports Connection. Use the Chart Data Table as a basis for preparing the chart. Use appropriate titles, legends, and formats. Enter your name somewhere on the chart. Save the file again as P2WORK4. Select the chart and then print it out.
In cell B10, enter a formula using the IF and AND functions to indicate whether the revenue goal has been met that month: a. Enter the logical test using the AND Function to determine if the Fundraisers amount in cell B7 equals 0 and the Total in cell B8 is greater than 20,000. b If the logical test is true, display Yes (using "Yes" for the value_if_true argument). c. If the logical test is false, insert a nested IF function. d. Enter the logical test of the nested IF function using the AND function to determin if the Fundraiser amount in cell B7 is greater than 0 and the Total in cell B8 is greater than 200,000. e. If the logical test for the nested IF function is true, display YES ( using "Yes" for the value_if_true argument). f. If the logical test if false, display No (using "No" for the value_if_false argument) I have tried to figure this excel formula out for about an hour now, this is what I have. but this is only half of the formula. I need the correct formula please.…
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Q6. a. When three pens and four erasers were purchased, the cost was $21.25. When two pens and two erasers were purchased, the cost was $12.50. What was the the price of a pen and the price of an earaser? b. Solve y = x² + 1 and 2y = 3x # 4

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