The PlySide Shop wants to develop a cost estimating equation for its monthly cost of water. It has the following data: Cost of Water (Y) Direct Labor-Hours (X) $26,000 Month March June $30,000 September $34,000 December $29,000 3.000 3.400 4,000 3.200 What would be the best equation using the high-low method?
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What would be the best equation using the high-low method?
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- a) Determine the variable cost per unit and the fixed cost using the high-low method.b) What is the equation of the total mixed cost function?c) Prepare the scatter diagram and insert the trendline or line of best-fit. Use a scaleof 2 cm to represent 1,000 units on the x-axis & 2 cm to represent $50,000 on the yaxis.Assume that the situation can be expressed as a linear cost function. Find the cost function in this case. Marginal cost: $60; 120 items cost $8000 to produce. The linear cost function is C(x)= FEEPlease explain each anwer with formula. Regarding the following information, how many machines would be needed to handle the required volume? Processing time per unit (minute) product demand A B C 1 16000 3 4 2 2 12000 4 4 3 3 6000 5 6 4 4 30000 2 2 1 In order to meet annual demand for all products, how many machines in each type are needed? Based on fixed annual cost (Alternative A with $40,000, B with $30,000 and C with $80,000), which type of machine and how many will cost least to satisfy the demand? Consider the operation of machines 10 hours per day and 200 days a year.
- 1.Using the high-low method of analyzing costs, answer the following questions and show computations to support your answers. a. What is the estimated variable portion of maintenance costs per labor hour? 2.What is the estimated fixed maintenance cost each month? 3.Formulate the regression equation 4.If it is estimated that 600 labor hours will be used in July, what is the expected total power cost for July? 5.Using the least-squares method of analyzing costs, answer the following questions and show computations to support your answers. a. What is the estimated variable portion of maintenance costs per labor hour? 5a. What is the estimated fixed maintenance cost each month? 5b.Formulate the regression equation 5c.If it is estimated that 600 labor hours will be used in July, what is the expected total power cost for July?Solve for the cost line equation using the high-low method: \table[[Month, Units Produced,Total Cost], [1,4,500,$ 38,000Assume that the linear cost and revenue models apply. An item costs $13 to make. If fixed costs are $1600 and profits are $5700 when 100 items are made and sold, find the revenue equation. (Let x be the number of items.)R(x) =
- The following activity and cost data that were provided by Hoist Corporation would help in estimating its future maintenance costs: Units Maintenance cost P1,350 7. P1,590 11 P1,920 15 P2.100 Using the least squares regression method to estimates the cost formula, the expected total cost for an activity level of 10 units would be closest to (nearest peso) e.g. 1405.688888, Type 1406 3.Find out BEP in units and value with the following data:Fixed cost - $30000Variable cost - $20 per unitSelling Price - $50 per unit.Using the costs data from Rose Company, answer the following questions: A. If 15,000 units are produced, what is the variable cost per unit? B. If 28,000 units are produced, what is the variable cost per unit? C. If 21,000 units are produced, what are the total variable costs?
- Please answer with explanation. I will really upvoteYanks Ltd uses the following cost function: Y = $7000 + $8.50X. If the number of units produced in a month is 200, what would be the total cost?1. Calculate the contribution margin rate, the sales dollar breakeven point, and the unit sales breakeven point. 2. Use the following information to perform your calculations. a. Net Sales: $50,000.00 b. Contribution Margin: $20,000.00 c. Total Fixed Costs: $15,500.00 d. Unit Sales Price: $25.00 3. Provide the formula and write out the equation that you use for each calculation. a. Contribution Margin Rate: b. Sales Dollar Breakeven Point: C. Unit Sales Breakeven Point: