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- XYZ Company's accountant is estimating next period's total overhead costs (Y). She performed three regression analyses, the first is based on direct labor hours (DLH), the second is based on machine hours (Mhr), and the third is based on quantity produced (Q). The results were: [Y=$95,000 + $9×DLH; R-square = 0.85); [Y= $120,000 + $5xMhr; R-square = 0.15]; [Y=190,000+2Q; R-square=0.45]. How much of the variations on the overhead costs is explained by the direct labor hours (DLH)? Select one: O a. 55% O b. None of the answers given O c. 15% O d. 85% O e. 45%XYZ Company's accountant is estimating next period's total overhead costs (Y). She performed three regression analyses, the first is based on direct labor hours (DLH), the second is based on machine hours (Mhr), and the third is based on quantity produced (Q). The results were: [Y=$95,000+ $9×DLH; R-square Y=190,000+2Q; R-square-D0.55]. How much of the variations on the overhead costs is explained 0.90]; [Y= $120,000 $5xMhr; R-square = 0.10]; by the machine hours (Mhr)? Select one: O a. 90% Ob. None of the answers given Oc.45% O6.55% Oe. 10% Next page pageXYZ Company's accountant is estimating next period's total overhead costs (Y). She performed three regression analyses, the first is based on direct labor hours (DLH), the second is based on machine hours (Mhr), and the third is based on quantity produced (Q). The results were: [Y=$95,000 + $9×DLH; R-square = 0.90]; [Y= $120,000 + $5xMhr; R-square = 0.10]; [Y=190,000+2Q; R-square=0.55]. How much of the variations on the overhead costs is explained by %3D the machine hours (Mhr)? Select one: a. 55% b. None of the answers given c. 90% d. 45%
- Write a linear cost function equation for each of the following conditions. Use y for estimated costsand X for activity of the cost driver. Machine operating costs include $1,000 of maintenance per month, and $15.00 of coolant usagecosts for each day the machinery is in operation.XYZ Company's accountant is estimating next period's total overhead costs (Y). She performed three regression analyses, the first is based on direct labor hours (DLH), the second is based on machine hours (Mhr). and the third is based on quantity produced (Q). The results were: [Y=$95,000 + $9×DLH; R-square 0.90]; [Y= $120,000 + $5xMhr; R-square 0.10]: [Y=D190,000+2Q; R-square%3D0.55]. How much of the variations on the overhead costs is explained by the direct labor hours (DLH)? Select one: Oa 45% Ob. None of the answers given O c 10% O a. 5596 Ce. 90%,XYZ Company's accountant is estimating next period's total overhead costs (Y). She performed three regression analyses, the first is based on direct labor hours (DLH), the second is based on machine hours (Mhr), and the third is based on quantity produced (Q). The results were: [Y=$150,000 + $10XDLH; R-square = 0.95]; [Y= $190,000 + $5xMhr; R-square = 0.11]; [Y=200,000+2Q; R-square=0.52]. Based on this information, which cost driver do you recommend? Select one: O a. Machine hours (Mhr) O b. Direct labor hours (DLH) O c. None of them O d. Quantity produced (Q) O e. All cost drivers are the same
- 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?XYZ Company's accountant is estimating next period's total overhead costs (Y). She performed three regression analyses, the first is based on direct labor hours (DLH), the second is based on machine hours (Mhr). and the third is based on quantity produced (Q). The results were: [Y-$150,000 + $10×DLH; R-square 0.95]: [Y= $190,000 $5xMhr. R-square = 0.11] [Y=200,000+20 R-square=0.52] Based on this information, %3D which cost driver do you recommend? Select one: O a. All cost drivers are the same Ob. None of them Oc Machine hours (Mhr) O d. Direct labor hours (DLH) Oe. Quantity produced (Q)Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month Machine Hours Electricity Costs January 2,500 $ 18,400 February 2,900 21,000 March 1,900 13,500 April 3,100 23,000 May 3,800 28,250 June 3,300 22,000 July 4,100 24,750 August 3,500 22,750 September 2,000 15,500 October 3,700 26,000 November 4,700 31,000 December 4,200 27,750 Summary Output Regression Statistics Multiple R 0.965 R Square 0.932 Adjusted R2 0.925 Standard Error 1,425.18 Observations 12.00 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 3,726.88 1,682.82 2.21 0.05 (22.69) 7,476.45 Machine Hours 5.77 0.49 11.7 0.00 4.67 6.87 The percent of the total variance that can be explained by the regression is:…
- The controller of Ivanhoe Industries has collected the following monthly cost data for use in analyzing the behavior of maintenance costs. Month January February March April May June (a1) Total Maintenance Costs $3,041 3,456 4,147 5,184 3,686 5,633 Total Machine Hours 4,032 Variable cost per machine hour $ 4,608 6,912 9,101 5,760 9,216 Determine the unit variable costs using the high-low method for this mixed cost. (Round answer to 2 decimal places e.g. 2.25.)Data table Month Total Cost Machine Hours January.. 3,420 1,090 February..... S 3,760 1,120 March .... $ 3,532 1,080 April ..... 3,720 1,220 May S 4,800 1,330 June 4,192 1,480 .. %24 %24The controller of Hall Industries has collected the following monthly expense data for use in analyzing the cost behavior of maintenance costs. Month TotalMaintenance Costs TotalMachine Hours January $2,817 3,734 February 3,201 4,268 March 3,841 6,402 April 4,801 8,429 May 3,414 5,335 June 4,930 8,536 Determine the variable-cost components using the high-low method. (Round variable cost to 2 decimal places e.g. 12.25.) Variable cost per machine hour $ eTextbook and Media Determine the fixed cost components using the high-low method. (Round answer to 0 decimal places e.g. 2,520.) Fixed costs $