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lbvjy [14]
3 years ago
15

World Company expects to operate at 80% of its productive capacity of 50,000 units per month. At this planned level, the company

expects to use 25,000 standard hours of direct labor. Overhead is allocated to products using a predetermined standard rate of 0.625 direct labor hour per unit. At the 80% capacity level, the total budgeted cost includes $50,000 fixed overhead cost and $275,000 variable overhead cost. In the current month, the company incurred $305,000 actual overhead and 22,000 actual labor hours while producing 35,000 units. (Indicate the effect of each variance by selecting for favorable, unfavorable, and no variance. Do not round your intermediate calculations.)
Business
1 answer:
slega [8]3 years ago
5 0

Answer:

Following are the solution to this question:

Explanation:

Please find the complete question in the attachment file.

                              Applied to fixed overhead

Overhead fixed by DL hr.         =\frac{50000}{25000}\ \ \ \ \ \ \ \ \ \ \ =2

DL hours standard   =35000 \times \frac{25000}{50000 \times 80\%}  \ \ \ \ \ \ \ \ \ \ \ \ =21875

Application of fixed overhead = 21875 \times 2.0 \ \ \ \ \ \ \ \ \ \ = 43750

                                 Variance in volume

Application of total fixed overhead  = \$43,750

Fixed total estimates Superfast  =\$50,000  

Variance of volume  = \$6,250

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Pettit Ice Cream Company produces various ice cream products for which demand is highly seasonal. The company sells more ice cre
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Answer:

a) Fixed costs = $22,000

b) $70,000

c) The high low cost method is generally inaccurate because it only considers the extremes, the highest and lowest costs and activity levels. Generally costs are not linear, but they might follow a certain tendency. The advantages of the high low cost method is that it is fairly accurate when costs are stable, plus it is much simpler to calculate.

d) Assuming that costs follow a certain tendency, regression analysis is much more exact since it analyses the relationship between different data and different variables. When you analyze only 2 variables, a linear regression analysis will serve you. but if you need to analyse more than two variables, then you must use a multiple regression analysis.

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fixed costs = $82,000 - (50,000 x $1.20) = $22,000

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$22,000 + (40,000 x $1.20) = $70,000

how regression analysis improves accuracy of high low cost method

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