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(solution) I am trying to answer the last portion of this question number 3


I am trying to answer the last portion of this question number 3 in regards to recommendations?


Student Name: Cory Gill

 

Student Identification Number: GA1600104

 

Student Mailing Address: 4306 Drexel Way Atlanta, Georgia 30346

 

Student E-mail Address: crgill3157@gmail.com

 

Student Phone Numbers: 404-723-0269 Course Number and Title: MA 610- Management Accounting

 

Assignment Number and Title: Activity 1/ Discussion Question 1_02

 

Date of Submission: October 15, 2016 Part A: 3-A1

 

1.

 

Support Cost Based on 75% of the cost of materials: (Material Cost x .75= Support Cost)

 

Sign A Sign B Direct Material Cost $300 $800 Support Cost $225 $600 Support Cost Based on $70 per power tool operation: ($70 x per tool operation= Support Cost)

 

Sign A Sign B Power Tool Operations 10 2 Support Cost $700 $140 2. Based upon the numbers with the predicting support cost it seems Dogwood Signs is

 

predicting too much cost for signs that use less power tool operations. In addition, the company

 

is also predicting too little cost for signs that use more power tool operations. In other words, the

 

company is more than likely losing out on jobs that require less power tool operations because

 

the bids are too high. Therefore, Dogwood needs to bid less on these jobs to profit more. Part B: 3-A2

 

1.

 

Support Cost Machine Hour High Month= May $22,000 1,700 Low Month= September $18,000 1,300 Difference $4,000 400 Variable cost per machine hour= change in cost divided by change in cost drive

 

Therefore, 4,000 divided 400 which equals out to be $10.00 per machine hour. Fixed support cost per month= total support cost ?variable support cost

 

High Point: $22,000 ? ($10.00 x 1700) = $5,000

 

Low Point: $18,000 ? ($10.00 x 1300) = $5,000 2. The fact is the analysis would not change at all since the high-low method uses the high and

 

low activity levels to determine the cost function. Furthermore, the new October data for

 

machine hours does not change either the high or the low levels. 3. At least-square regression analysis gave the following output:

 

Regression equation: Y= $4,050 + 10.50X

 

What recommendations would you give the president based on these analyses?

 


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