Almed Products has determined that the number of machine hours worked (MH) drives the amount of manufacturing overhead incurred (MOH). On the basis of this relationship, a staff analyst has constructed the following regression equation: MOH = 240,000 + 8MH Which of the choices correctly depicts the nature of Almed’s variables? Dependent Independent A. MOH MOH B. MOH MH C. MH MOH D. MH MH E. 8 240,000 Multiple Choice Choice A Choice B Choice C Choice D Choice E

Almed Products has determined that the number of machine hours worked (MH) drives the amount of manufacturing overhead incurred (MOH). On the basis of this relationship, a staff analyst has constructed the following regression equation: MOH = 240,000 + 8MH Which of the choices correctly depicts the nature of Almed’s variables? Dependent Independent A. MOH MOH B. MOH MH C. MH MOH D. MH MH E. 8 240,000 Multiple Choice Choice A Choice B Choice C Choice D Choice E

Name: Almed Products has determined that the number of machine hours worked
Uploaded: 2024-03-20T06:33:06.000Z
Channel: Bartleby
Description: Almed Products has determined that the number of machine hours worked (MH) drives the amount of manufacturing overhead incurred (MOH). On the basis of this relationship, a staff analyst has constructed the following regression equation:MOH = 240,000

Principles of Cost Accounting

17th Edition

ISBN:9781305087408

Author:Edward J. Vanderbeck, Maria R. Mitchell

Publisher:Edward J. Vanderbeck, Maria R. Mitchell

Chapter4: Accounting For Factory Overhead

Section: Chapter Questions

Problem 3E

See similar textbooks

Similar questions

Newport, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations 0.7225 0.8500 30 Coefficients Standard Error T Stat P-Value 0.021 Intercept Production (X) 31,000 5.87 3,493 2.86 0.4640 14.30 0.000 a. What is Newport's total fixed cost? Total Fixed Cost b. What is Newport's variable cost per unit? (Round your intermediate calculations to 2 decimal places.) Variable Cost per unit c. What total cost would Newport predict for a month in which they sold 5,000 units? Total Costs d. What proportion of variation in Newport's cost is explained by variation in production? (Round your intermediate calculations to 2 decimal places.) Proportion of Variation
16. The following is the simple regression results based on the data from Madrigal Corporation: Dependent variable – Machine maintenance costsIndependent variable – Machine hoursComputed valuesIntercept P 3,500Coefficient on independent variable P 3.50Coefficient of correlation 0.856R2 0.733 What percentage of the variation in maintenance costs is explained by the independent variable?
The Perize Corporation used regression analysis to predict the annual cost of indirect materials. The results were as follows: Indirect Materials Cost Explained by Units Produced Constant $15,685 Standard error of Y estimate $3,500 r2 0.7832 Number of observations 20 X coefficient(s) 10.25 Standard error of coefficient(s) 2.1876 What is the cost function? Select one: a. Y = $19,185 + $4.48X b. Y = $15,685 + $10.25X c. Y = $12,285 + $10.25X d. Y = $3,500 + $5.15X
Star, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R 0.9798 R Square 0.9560 Observations 30 Coefficients Standard Error T Stat P-Value Intercept 174,302 60,902 2.86 0.021 Production (X) 11.06 0.9237 11.97 0.000 What total cost would Star predict for a month in which production is 2,000 units? Multiple Choice $21,419 $62,749 $173,282 $196,422
The following computer printout was generated, using regression, for use in estimating maintenance costs. Intercept 8300 X Variable 1 37 Multiple R 0.9500 R Square 0.9025 Activity variable machine hours An estimate of maintenance costs at an activity level of 100 machine hours would be:
Analysis of Regression Results Wang Manufacturing uses regression analysis to predict manufacturing overhead costs based on direct labor hours and/or machine hours and has developed thethree following regression equations:Regression 1 Regression 2 Regression 3SE 33,844 45,383 31,044R-squared 0.55 0.35 0.58t-values:Direct labor hours 2.3 1.9Machine hours 1.1 0.8Required Which regression would you choose and why?
Carter Dry Cleaning has developed two regression analyses for cost estimation. The accounting manager has presented statistical measures for both of these regressions. Regression A has an R-squaredvalue of .53 and a t-value of 1.08. Regression B has an R-squared of .89 and a t-value of 2.17. Whatdo these statistical measures indicate about the regressions? Which regression should Carter DryCleaning use for cost estimation?
Star, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R 0.9711 R Square 0.9473 Observations 30 Coefficients Standard Error T Stat P-Value Intercept 175,007 61,607 2.84 0.021 Production (X) 11.14 0.9237 12.06 0.000 How much of the variation in cost is not explained by production? Multiple Choice It is impossible to determine. 5.27% 7.63% 2.89%
Based on analyzing the relationship of total factory overhead (Y) to direct labor hours (X). The following relationship was found: Y = $1,000 + $2X The equation was probably found through the use of which of the following mathematical techniques?
Scattergraph method Using the data in P4-2 and a piece of graph paper: 1. Plot the data points on the graph and draw a line by visual inspection, indicating the trend shown by the data points. 2. Determine the variable cost per unit and the total fixed cost from the information on the graph. 3. Determine the variable cost to be charged to the product for the year. 4. Determine the fixed cost to be charged to factory overhead for the year. 5. Do these answers agree with the answers to P4-2? Why or why not?
Refer to Cornerstone Exercise 3.4 for data on Dohini Manufacturing Company’s purchasing cost and number of purchase orders.The controller for Dohini Manufacturing ran regression on the data, and the coefficients shown by the regression program are: Intercept 15,021 (rounded to the nearest dollar)X variable 1 9.74 (rounded to the nearest cent) Required: 1. Construct the cost formula for the purchasing activity showing the fixed cost and the vari-able rate. 2. If Dohini Manufacturing Company estimates that next month will have 430 purchaseorders, what is the total estimated purchasing cost for that month? (Round your answer tothe nearest dollar.)3. What if Dohini Manufacturing wants to estimate purchasing cost for the coming year andexpects 5,340 purchase orders? What will estimated total purchasing cost be? (Round youranswer to the nearest dollar.) What is the total fixed purchasing cost? Why doesn’t it equalthe fixed cost calculated in Requirement 1?
A regression equation is set up, where the dependent variable is total costs and the independent variable is production. A correlation coefficient of 0.70 implies that: The coefficient of determination is negative. The level of production explains 49% of the variation in total costs There is a slightly inverse relationship between production and total costs. A correlation coefficient of 1.30 would produce a regression line with better fit to the data.