Mimi’s Fixtures manufactures kitchen tiles in one plant, which has a practical capacity of 30,000 tiles. The variable cost of the tile is $18.00 per unit, and the fixed costs of the plant are $600,000 annually. Current annual demand is 25,000 tiles. Mimi bought the current plant because she expected that demand for the tiles would grow once her reputation was established. Required:
A. What cost per tile should the cost system report? $38B. What is the cost of excess capacity?C. How would your answers to requirements (a) and (b) change if the smallest tile manufacturing plant that one could build (owing to technology) was able to produce 30,000 tiles?

After discussing the options, the strategic management team has agreed that the pod coffee idea works well with the company's mission statement and decides that the company should move forward in exploring the pod coffee idea. in order to make sure that the pod coffee idea is a good one, and to see if there are other potential future endeavors to pursue, you must analyze the market situation and formulate a strategy. your boss asks you to start working on the pod coffee idea. what is your first stepa. your first step is to formulate a strategy for how to market the pod coffee concept. b. your first step is to consult with your boss and find out what he thinks about the pod coffee idea. c. your first step is to do some research to find out what your competitors are doing. d. your first step is to analyze the organization's strengths, weaknesses, opportunities, and threats.

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $

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