production volumes and total cost data for a manufactuing operation. (a) Use these dota to develop an estimated regression equation that could be used to predict the total cost for a given profuction volume. (hiound your numerai valies to twe deemat placesis p= (b) What is the variable cost (in coltars) per unit produced? 4 (C) Compute the coefncient of determination. (Round your answer to three dedmal ploces,) What percentage of the variation in total cost can be explained by production volume? \{Round your answer to one decimal place. } (a) The company's production schedule shems 650 units must be produced nest month. Predict the tetal cost (in dollars) for this operation. (Round your onswer to the nearyst cent.) An important application of regression analysis in accounting is in the estimal estimated regression equation relating volume and cost, an accountant can e production volumes and total cost data for a manufacturing operation. (a) Use these data to develop an estimated regression equation that couid places.) p^= (b) What is the variable cost (in dollars) per unit produced? $ (c) Compute the coefficlent of determination. (Round your answer to three i What percentage of the variation in total cost can be explained by produ. (d) The company's production schedule shows 650 units must be produced