Managerial Accounting
3rd Edition
ISBN: 9780077826482
Author: Stacey M Whitecotton Associate Professor, Robert Libby, Fred Phillips Associate Professor
Publisher: McGraw-Hill Education
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 5, Problem 2.5GBP
To determine
Concept introduction:
Least square regression method: It is a statistical procedure which is used to find best fit for a set of data (points) by minimizing the sum of the residual points from the plotted curve.
To prepare:
The performance of least square regression method on Sigrid’s data.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The managerial accountant at Organic Beverage Factory used spreadsheet software to run a regression analysis scenario and compile the following monthly cost data:
Organic Beverage Factory
Intercept coefficient
X Variable 1 Coefficient
$4,286,652
$28.21
R-square
0.6521
Which of the following is the correct cost equation showing the correlation of monthly costs, based on the results of the regression analysis compiled by the managerial accountant?
O A. y $4,286,652 $28.21
O B. y $0.6521 $28.21x
O C. y $28.21x + $4,286,652
O D. y
0.6521x + $4,286,652
Tempe Office Services and Supplies (TOSS) provides various products and services in the Tempe Research Park, home to numerous
high-tech and bio-tech companies. Making color copies is one of its most popular and profitable services. The controller performed a
regression analysis of data from the Color Copy Department with the following results:
Intercept
R-squared
Number of observations
X coefficient
Month
July
August
September
October
November
December
The regression output was based on the following data:
Color Copy
Department
Costs
Number of
Color
Copies
25,900
23,000
19,550
18, 150
30.874686
0.970922
22,150
20,400
6
0.081144
$ 2,095
1,955
1,600
1,475
1,815
1,725
Required:
1. What is the variable cost per color copy for TOSS?
2. What is the fixed cost for the Color Copy Department?
3. Based on the regression output obtained by the controller, what cost formula should be used to estimate future total costs for the
Color Copy Department? Enter answer as an equation in the form of y= a…
Tempe Office Services and Supplies (TOSS) provides various products and services in the Tempe Research Park, home to numerous
high-tech and bio-tech companies. Making color copies is one of its most popular and profitable services. The controller performed a
regression analysis of data from the Color Copy Department with the following results:
Intercept
R-squared
Number of observations
X coefficient
Month
July
August
September
October
November
December
The regression output was based on the following data:
Color Copy
Department
Costs
Number of
Color
Copies
25,900
23,000
Reg 1
19,550
18,150
22,150
20,400
Regression
High-Low
Req 2
$
30.874686
0.970922
Required:
1. What is the variable cost per color copy for TOSS?
2. What is the fixed cost for the Color Copy Department?
3. Based on the regression output obtained by the controller, what cost formula should be used to estimate future total costs for the
Color Copy Department? Enter answer as an equation in the form of y= a + bx.
5-a. Use…
Chapter 5 Solutions
Managerial Accounting
Ch. 5 - Define each of the following terms variable cost,...Ch. 5 - Prob. 2QCh. 5 - Prob. 3QCh. 5 - Prob. 4QCh. 5 - Prob. 5QCh. 5 - Describe the three methods used to estimate cost...Ch. 5 - Prob. 7QCh. 5 - Prob. 8QCh. 5 - Prob. 9QCh. 5 - Prob. 10Q
Ch. 5 - Prob. 11QCh. 5 - Prob. 12QCh. 5 - Prob. 13QCh. 5 - Prob. 14QCh. 5 - Which of the following increases when activity...Ch. 5 - Prob. 2MCCh. 5 - Prob. 3MCCh. 5 - Consider the following information for a local...Ch. 5 - Prob. 5MCCh. 5 - Prob. 6MCCh. 5 - Prob. 7MCCh. 5 - Prob. 8MCCh. 5 - Prob. 9MCCh. 5 - Hathaway Corp, manufactures garden hoses. Last...Ch. 5 - Identifying Cost Behavior Heather Oak is trying to...Ch. 5 - Prob. 2MECh. 5 - Defining Cost Behavior Match each of the following...Ch. 5 - Prob. 4MECh. 5 - Defining Terms for the High-Low Method Indicate...Ch. 5 - Prob. 6MECh. 5 - Prob. 7MECh. 5 - Prob. 8MECh. 5 - Prob. 9MECh. 5 - Prob. 10MECh. 5 - Prob. 11MECh. 5 - Prob. 12MECh. 5 - Prob. 13MECh. 5 - Prob. 14MECh. 5 - Prob. 15MECh. 5 - Prob. 16MECh. 5 - Compare full absorption costing to variable...Ch. 5 - Identifying Cost Behavior Patterns Steve...Ch. 5 - Prob. 2ECh. 5 - Prob. 3ECh. 5 - Prob. 4ECh. 5 - Estimating Cost Behavior Using High-Low Method...Ch. 5 - Prob. 6ECh. 5 - Prob. 7ECh. 5 - Prob. 8ECh. 5 - Prob. 9ECh. 5 - Estimating Cost Behavior Using Scattergraph and...Ch. 5 - Estimating Cost Behavior Using Least-Squares...Ch. 5 - Comparing High-Low Method and Least-Squares...Ch. 5 - Preparing Contribution Margin Income Statement...Ch. 5 - Determining Cost Behavior, Preparing Contribution...Ch. 5 - Prob. 15ECh. 5 - Prob. 16ECh. 5 - Prob. 17ECh. 5 - Prob. 18ECh. 5 - Comparing Full Absorption Costing and Variable...Ch. 5 - Estimating Cost Behavior Using Least-Squares...Ch. 5 - Prob. 1.1GAPCh. 5 - Prob. 1.2GAPCh. 5 - Prob. 1.3GAPCh. 5 - Prob. 1.4GAPCh. 5 - Prob. 1.5GAPCh. 5 - Prob. 1.6GAPCh. 5 - Prob. 2.1GAPCh. 5 - Prob. 2.2GAPCh. 5 - Prob. 2.3GAPCh. 5 - Prob. 2.4GAPCh. 5 - Prob. 2.5GAPCh. 5 - Prob. 2.6GAPCh. 5 - Prob. 2.7GAPCh. 5 - Prob. 3.1GAPCh. 5 - Prob. 3.2GAPCh. 5 - Prob. 3.3GAPCh. 5 - Prob. 3.4GAPCh. 5 - Prob. 3.5GAPCh. 5 - Prob. 4.1GAPCh. 5 - Prob. 4.2GAPCh. 5 - Prob. 4.3GAPCh. 5 - Comparing Full Absorption and Variable Costing...Ch. 5 - Comparing Full Absorption and Variable Costing...Ch. 5 - Prob. 5.3GAPCh. 5 - Prob. 6.1GAPCh. 5 - Prob. 6.2GAPCh. 5 - Prob. 6.3GAPCh. 5 - Prob. 6.4GAPCh. 5 - Prob. 6.5GAPCh. 5 - Prob. 6.6GAPCh. 5 - Prob. 1.1GBPCh. 5 - Prob. 1.2GBPCh. 5 - Prob. 1.3GBPCh. 5 - Prob. 1.4GBPCh. 5 - Estimating Cost Behavior Using Scattergraph,...Ch. 5 - Prob. 1.6GBPCh. 5 - Prob. 2.1GBPCh. 5 - Estimating Cost Behavior Using Scattergraph,...Ch. 5 - Prob. 2.3GBPCh. 5 - Prob. 2.4GBPCh. 5 - Prob. 2.5GBPCh. 5 - Prob. 2.6GBPCh. 5 - Prob. 2.7GBPCh. 5 - Prob. 3.1GBPCh. 5 - Prob. 3.2GBPCh. 5 - Prob. 3.3GBPCh. 5 - Prob. 3.4GBPCh. 5 - Prob. 3.5GBPCh. 5 - Prob. 4.1GBPCh. 5 - Prob. 4.2GBPCh. 5 - Prob. 4.3GBPCh. 5 - Prob. 5.1GBPCh. 5 - Prob. 5.2GBPCh. 5 - Prob. 5.3GBPCh. 5 - Prob. 6.1GBPCh. 5 - Prob. 6.2GBPCh. 5 - Prob. 6.3GBPCh. 5 - Prob. 6.4GBPCh. 5 - Prob. 6.5GBPCh. 5 - Prob. 6.6GBP
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, accounting and related others by exploring similar questions and additional content below.Similar questions
- A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the tile MktHrsPts. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying? Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the sample values of total point earned does the model you estimated in part (b) explain? Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part (b) to predict the total points Mark earned.arrow_forwardThe controller for Dohini Manufacturing Company felt that the number of purchase orders alone did not explain the monthly purchasing cost. He knew that nonstandard orders (for example, one requiring an overseas supplier) took more time and effort. He collected data on the number of nonstandard orders for the past 12 months and added that information to the data on purchasing cost and total number of purchase orders. Multiple regression was run on the above data; the coefficients shown by the regression program are: Required: 1. Construct the cost formula for the purchasing activity showing the fixed cost and the variable rate. 2. If Dohini Manufacturing Company estimates that next month will have 430 total purchase orders and 45 nonstandard orders, what is the total estimated purchasing cost for that month? (Round your answer to the nearest dollar.) 3. What if Dohini Manufacturing wants to estimate purchasing cost for the coming year and expects 5,340 purchase orders and 580 nonstandard orders? What will estimated total purchasing cost be? What is the total fixed purchasing cost? Why doesnt it equal the fixed cost calculated in Requirement 2? (Round your answers to the nearest dollar.)arrow_forwardDeMarco Company is developing a cost formula for its packing activity. Discussion with the workers in the Packing Department has revealed that packing costs are associated with the number of customer orders, the size of the orders, and the relative fragility of the items (more fragile items must be specially wrapped in bubble wrap and Styrofoam). Data for the past 20 months have been gathered: Required: 1. Using the method of least squares, run a regression using the number of orders as the independent variable. 2. Run a multiple regression using three independent variables: the number of orders, the weight of orders, and the number of fragile items. Which regression equation is better? Why? 3. Predict the total packing cost for 25,000 orders, weighing 40,000 pounds, with 4,000 fragile items.arrow_forward
- Curry Rubber manufactures rubber bands for retail companies. The accounting manager has performed a regression analysis of past data. You notice that the formula has an R-squared of 0.68, a t-value of 2.2, and a standard error of the estimate of $218,200. The estimate for next quarter costs is $2,597,623. Calculate Standard Error as a % of predicted total cost which represents a measure of precision of his regression analysis? (Round your answer to one decimal place, i.e., 0.052 = 5.2%.)arrow_forwardMethod of Least Squares, Developing and Using the Cost Formula The method of least squares was used to develop a cost equation to predict the cost of receiving purchased parts at a video game manufacturer. Ninety-six data points from monthly data were used for the regression. The following computer output was received: Intercept 147,400 Slope 210 The cost driver used was number of parts inspected. Required: 1. What is the cost formula? Total cost of receiving = $ + ( $ × ) 2. Using the cost formula from Requirement 1, identify each of the following: independent variable, dependent variable, Variable rate per professional hour, and fixed cost per month. Independent variable Dependent variable Variable rate per professional hour per part inspected Fixed cost per month 3. Using the cost formula, predict the cost of receiving for a month in which 6,800 parts are inspected. Total cost of receiving = $ Identifying the Parts of the Cost Formula;…arrow_forwardMethod of Least Squares, Developing and Using the Cost Formula The method of least squares was used to develop a cost equation to predict the cost of receiving purchased parts at a video game manufacturer. Ninety-six data points from monthly data were used for the regression. The following computer output was received: Intercept 175,600 Slope 455 The cost driver used was number of parts inspected. Required: 1. What is the cost formula? Total cost of receiving = $ + ( $ × ) 2. Using the cost formula from Requirement 1, identify each of the following: independent variable, dependent variable, Variable rate per professional hour, and fixed cost per month. Independent variable Dependent variable Variable rate per professional hour per part inspected Fixed cost per month 3. Using the cost formula, predict the cost of receiving for a month in which 7,200 parts are inspected. Total cost of receiving = $arrow_forward
- The controller of Emery, Inc. has computed quality costs as a percentage of sales for the past 5 years (20X1 was the first year the company implemented a quality improvement program). This information is as follows: Required: 1. Prepare a trend graph for total quality costs. Comment on what the graph has to say about the success of the quality improvement program. 2. Prepare a graph that shows the trend for each quality cost category. What does the graph have to say about the success of the quality improvement program? Does this graph supply more insight than the total cost trend graph does? 3. Prepare a graph that compares the trend in relative control costs versus relative failure costs. Comment on the significance of this trend.arrow_forwardNorris Company implemented a quality improvement program and tracked the following for the 5 years: By cost category of sales for the same period of time: Required: 1. Prepare a bar graph (hat reveals the trend in quality cost as a percentage of sales (time on horizontal axis and percentages on the vertical). Comment on the message of the graph. 2. Prepare a bar graph for each cost category as a percentage of sales. What does this graph tell you?arrow_forwardThe president of a small manufacturing firm is concerned about the continual increase in manufacturing costs over the past several years. The following figures provide a time series of the cost per unit for the firms leading product over the past eight years: a. Construct a time series plot. What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. c. What is the average cost increase that the firm has been realizing per year? d. Compute an estimate of the cost/unit for next year.arrow_forward
- Method of Least Squares Refer to the information for Luisa Crimini on the previous page. Required: 1. Using a computer spreadsheet program such as Excel, run a regression on these data. Based on the regression output, write the cost formula for tanning. (Note: Round the fixed cost to the nearest dollar and the variable rate to the nearest cent.) 2. Using the formula computed in Requirement 1, what is the predicted cost of tanning services for September for 2,500 appointments? Use the following information for Exercises 3-44 through 3-46: Luisa Crimini has been operating a beauty shop in a college town for the past 10 years. Recently, Luisa rented space next to her shop and opened a tanning salon. She anticipated that the costs for the tanning service would primarily be fixed, but found that tanning salon costs increased with the number of appointments. Costs for this service over the past 8 months are as follows:arrow_forwardJensen Tire Auto is deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). a. Develop a scatter chart with weekly usage hours as the independent variable. What does the scatter chart indicate about the relationship between weekly usage and annual maintenance expense? b. Use the data to develop an estimated regression equation that could be used to predict the annual maintenance expense for a given number of hours of weekly usage. What is the estimated regression model? c. Test whether each of the regression parameters 0 and 1 is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? d. How much of the variation in the sample values of annual maintenance expense does the model you estimated in part (b) explain? e. If the maintenance contract costs 3,000 per year, would you recommend purchasing it? Why or why not?arrow_forwardRizzo Goal Inc. produces and sells hockey equipment, often custom made for online orders. The company has the following performance metrics on its balanced scorecard: days from ordered to delivered, number of shipping errors, customer retention rate, and market share. A measure map illustrates that the days from ordered to delivered and the number of shipping errors are both expected to directly affect the customer retention rate, which affects market share. Additional internal analysis finds that: Every shipping error over three shipping errors per month reduces the customer retention rate by 1.5%. On average, each day above three days from ordered to delivered yields a reduction in the customer retention rate of 1%. Each day before three days from order to delivery yields an increase in the customer retention rate of 1%, on average. Rizzo Goal Inc.s current customer retention rate is 60%. The company estimates that for every 1% increase or decrease in the customer retention rate, market share changes 0.5% in the same direction. Rizzo Goal Inc.s current market share is 21.4%. Ignoring any other factors, if the company has six shipping errors this month and an average of 3.5 days from ordered to delivered, determine (a) the new customer retention rate and (b) the new market share that Rizzo Goal Inc. expects to have.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Managerial Accounting: The Cornerstone of Busines...AccountingISBN:9781337115773Author:Maryanne M. Mowen, Don R. Hansen, Dan L. HeitgerPublisher:Cengage Learning
Principles of Cost AccountingAccountingISBN:9781305087408Author:Edward J. Vanderbeck, Maria R. MitchellPublisher:Cengage Learning
Cornerstones of Cost Management (Cornerstones Ser...AccountingISBN:9781305970663Author:Don R. Hansen, Maryanne M. MowenPublisher:Cengage Learning
Essentials of Business Analytics (MindTap Course ...StatisticsISBN:9781305627734Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. AndersonPublisher:Cengage Learning
Excel Applications for Accounting PrinciplesAccountingISBN:9781111581565Author:Gaylord N. SmithPublisher:Cengage Learning
Managerial AccountingAccountingISBN:9781337912020Author:Carl Warren, Ph.d. Cma William B. TaylerPublisher:South-Western College Pub
Managerial Accounting: The Cornerstone of Busines...
Accounting
ISBN:9781337115773
Author:Maryanne M. Mowen, Don R. Hansen, Dan L. Heitger
Publisher:Cengage Learning
Principles of Cost Accounting
Accounting
ISBN:9781305087408
Author:Edward J. Vanderbeck, Maria R. Mitchell
Publisher:Cengage Learning
Cornerstones of Cost Management (Cornerstones Ser...
Accounting
ISBN:9781305970663
Author:Don R. Hansen, Maryanne M. Mowen
Publisher:Cengage Learning
Essentials of Business Analytics (MindTap Course ...
Statistics
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Cengage Learning
Excel Applications for Accounting Principles
Accounting
ISBN:9781111581565
Author:Gaylord N. Smith
Publisher:Cengage Learning
Managerial Accounting
Accounting
ISBN:9781337912020
Author:Carl Warren, Ph.d. Cma William B. Tayler
Publisher:South-Western College Pub
How to Estimate Project Costs: A Method for Cost Estimation; Author: Online PM Courses - Mike Clayton;https://www.youtube.com/watch?v=YQ2Wi3Jh3X0;License: Standard Youtube License