PLEASE ANSWER ALL QUESTIONS AS THEY ARE ALL RELATED. A,B,C and D are part of question one

Questions answered with Formulas will be a plus

Thank you

Please aswers these A B C D questions

1. a. Complete the following table by calculating the sawmills cost per board foot for each grade using both the physical units method and the sales-value-at-split-off method (round to three decimal places): Sawmill Cost and Production Data Grade Physical Units Method: Cost per Board Foot Sales-Value-at-Split-Off Method: Cost per Board Foot

Firsts and seconds No. 1 common No. 2 common No. 3 common

b. Given that the sawmill provides lumber at cost to the furniture plant, using the sales-value-at-split-off method (select: increases, decreases) the cost of Job A500 by $________ and (select: increases, decreases) the cost of Job B75 by $__________.

c. The physical units method, often used in the lumber industry, essentially assumes that it costs (select: the same, more) to produce each board foot (select: regardless of, depending on) the grade. Thus, (select: the same, a higher) cost of lumber would be assigned to a sofa or chair (select: regardless of, depending on) which grade is used. This approach has some drawbacks. Intuitively, the higher grades should cost (select: the same, more). Certainly, if the company was buying this input from suppliers, there would be (select: a cost difference, no cost difference) for sofas and chairs (select: regardless of, depending on) the grade of lumber purchased, because the higher grades have a (select: higher, lower) selling price. The relative sales value method assigns (select: the same, a higher) cost to grades that have a (select: lower, higher) market value. Thus, the cost assigned to sofas and chairs (select: would differ, be the same) (select: according to, regardless of) the grade of lumber used.

d. Review the data analytic concepts and metrics found in Exhibits 2.5 and 2.6. What are the data analytic models being considered for the Sawmill? Which of the data analytic types is being used in Part a of Requirement 1?

And for Part b?

Part c?

Note: More than one data analytic type may apply.

Which of the data analytic models in play would you recommend for assigning the joint manufacturing sawmill costs? Explain.

Joint manufacturing costs: $900,000 Fabric Plant: Budgeted overhead: $1,200,000 (50\% fixed) Practical volume (direct labor hours): 120,000 hours Actual overhead: $1,150,000 (50\% fixed) Actual hours worked: a. Complete the following table by calculating the sawmill's cost per board foot for each grade using both the physical units method and the sales-value-at-split-off method (round to three decimal places): b. Given that the sawmill provides lumber at cost to the furniture plant, using the sales-value-at-split-off method (select: increases, decreases) the cost of Job A500 by \$ and (select: increases, decreases) the cost of Job B75 by $ c. The physical units method, often used in the lumber industry, essentially assumes that it costs (select: the same, more) to produce each board foot (select: regardless of, depending on) the grade. Thus, (select: the same, a higher) cost of lumber would be assigned to a sofa or chair (select: regardless of, depending on) which grade is used. This approach has some drawbacks. Intuitively, the higher grades should cost (select: the same, more). Certainly, if the company was buying this input from suppliers, there would be (select: a cost difference, no cost difference) for sofas and chairs (select: regardless of, depending on) the grade of lumber purchased, because the higher grades have a (select: higher, lower) selling price. The relative sales value method assigns (select: the same, a higher) cost to grades that have a (select: lower, higher) market value. Thus, the cost assigned to sofas and chairs (select: would differ, be the same) (select: according to, regardless of) the grade of lumber used. regardless of) the grade of lumber used. d. Review the data analytic concepts and metrics found in Exhibits 2.5 and 2.6. What are the data analytic models being considered for the Sawmill? Which of the data analytic types is being used in Part a of Requirement 1? And for Part b? Part c? Note: More than one data analytic type may apply. Which of the data analytic models in play would you recommend for assigning the joint manufacturing sawmill costs? Explain. Joh 5nn. Job B75: Joint manufacturing costs: $900,000 Fabric Plant: Budgeted overhead: $1,200,000 (50\% fixed) Practical volume (direct labor hours): 120,000 hours Actual overhead: $1,150,000 (50\% fixed) Actual hours worked: a. Complete the following table by calculating the sawmill's cost per board foot for each grade using both the physical units method and the sales-value-at-split-off method (round to three decimal places): b. Given that the sawmill provides lumber at cost to the furniture plant, using the sales-value-at-split-off method (select: increases, decreases) the cost of Job A500 by \$ and (select: increases, decreases) the cost of Job B75 by $ c. The physical units method, often used in the lumber industry, essentially assumes that it costs (select: the same, more) to produce each board foot (select: regardless of, depending on) the grade. Thus, (select: the same, a higher) cost of lumber would be assigned to a sofa or chair (select: regardless of, depending on) which grade is used. This approach has some drawbacks. Intuitively, the higher grades should cost (select: the same, more). Certainly, if the company was buying this input from suppliers, there would be (select: a cost difference, no cost difference) for sofas and chairs (select: regardless of, depending on) the grade of lumber purchased, because the higher grades have a (select: higher, lower) selling price. The relative sales value method assigns (select: the same, a higher) cost to grades that have a (select: lower, higher) market value. Thus, the cost assigned to sofas and chairs (select: would differ, be the same) (select: according to, regardless of) the grade of lumber used. regardless of) the grade of lumber used. d. Review the data analytic concepts and metrics found in Exhibits 2.5 and 2.6. What are the data analytic models being considered for the Sawmill? Which of the data analytic types is being used in Part a of Requirement 1? And for Part b? Part c? Note: More than one data analytic type may apply. Which of the data analytic models in play would you recommend for assigning the joint manufacturing sawmill costs? Explain. Joh 5nn. Job B75