5. 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 (5) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 a) Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. b) What is the variable cost per unit produced? c) Compute the coefficient of determination. What percentage of the variation in total cost can be explained by production volume? d) The company's production schedule shows S00 units must be produced next month. Predict the total cost for this operation?

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Equations and Inequations

Equations and inequalities describe the relationship between two mathematical expressions.

Linear Functions

A linear function can just be a constant, or it can be the constant multiplied with the variable like x or y. If the variables are of the form, x2, x1/2 or y2 it is not linear. The exponent over the variables should always be 1.