a. Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. Do not round intermediate calculations. Compute bi and bo (to 1 decimal). b1 bo Complete the estimated regression equation (to 1 decimal). Do not round intermediate calculations b. What is the variable cost per unit produced (to 2 decimal)? Do not round intermediate calculations 2$ c. Compute the coefficient of determination (to 3 decimals). Do not round intermediate calculations. Note: report r between 0 and 1. What percentage of the variation in total cost can be explained by the production volume (to 1 decimal)? Do not round intermediate calculations

a. Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. Do not round intermediate calculations. Compute bi and bo (to 1 decimal). b1 bo Complete the estimated regression equation (to 1 decimal). Do not round intermediate calculations b. What is the variable cost per unit produced (to 2 decimal)? Do not round intermediate calculations 2$ c. Compute the coefficient of determination (to 3 decimals). Do not round intermediate calculations. Note: report r between 0 and 1. What percentage of the variation in total cost can be explained by the production volume (to 1 decimal)? Do not round intermediate calculations

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Question

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 ($)
400
4,000
450
5,000
550
5,400
600
5,900
700
6,400
750
7,000
a. Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. Do not round
intermediate calculations.
Compute b1 and bo (to 1 decimal). bị
bo
Complete the estimated regression equation (to 1 decimal). Do not round intermediate calculations
b. What is the variable cost per unit produced (to 2 decimal)? Do not round intermediate calculations
2$
c. Compute the coefficient of determination (to 3 decimals). Do not round intermediate calculations. Note: report r between 0 and 1.
p2
What percentage of the variation in total cost can be explained by the production volume (to 1 decimal)? Do not round intermediate calculations

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