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Newport, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics. Multiple R R Square Observations Intercept Production (X) 0.7211 0.8486 30 Coefficients a. Total Fixed Cost b.Variable Costs c. Total Costs d. Proportion of Variation 48,000 5.60 Required: a. What is Newport's total fixed cost? b. What is Newport's variable cost per unit? per unit Standard Error Round your answer to 2 decimal places. c. What total cost would Newport predict for a month in which they sold 5,000 units? d. What proportion of variation in Newport's cost is explained by variation in production? Note: Round your intermediate calculations to 2 decimal places. % 3,492 0.4678 T Stat 2.86 14.65 P-Value 0.021 0.000

Newport, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics. Multiple R R Square Observations Intercept Production (X) 0.7211 0.8486 30 Coefficients a. Total Fixed Cost b.Variable Costs c. Total Costs d. Proportion of Variation 48,000 5.60 Required: a. What is Newport's total fixed cost? b. What is Newport's variable cost per unit? per unit Standard Error Round your answer to 2 decimal places. c. What total cost would Newport predict for a month in which they sold 5,000 units? d. What proportion of variation in Newport's cost is explained by variation in production? Note: Round your intermediate calculations to 2 decimal places. % 3,492 0.4678 T Stat 2.86 14.65 P-Value 0.021 0.000

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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17 Newport, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics. Multiple R R Square Observations Intercept Production (X) 0.7211 0.8486 30 Coefficients a. Total Fixed Cost b. Variable Costs c. Total Costs d. Proportion of Variation 48,000 5.60 Required: a. What is Newport's total fixed cost? b. What is Newport's variable cost per unit? Round your answer to 2 decimal places. c. What total cost would Newport predict for a month in which they sold 5,000 units? d. What proportion of variation in Newport's cost is explained by variation in production? Note: Round your intermediate calculations to 2 decimal places. per unit Standard Error 3,492 0.4678 % T Stat 2.86 14.65 P-Value 0.021 0.000
Transcribed Image Text:17 Newport, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics. Multiple R R Square Observations Intercept Production (X) 0.7211 0.8486 30 Coefficients a. Total Fixed Cost b. Variable Costs c. Total Costs d. Proportion of Variation 48,000 5.60 Required: a. What is Newport's total fixed cost? b. What is Newport's variable cost per unit? Round your answer to 2 decimal places. c. What total cost would Newport predict for a month in which they sold 5,000 units? d. What proportion of variation in Newport's cost is explained by variation in production? Note: Round your intermediate calculations to 2 decimal places. per unit Standard Error 3,492 0.4678 % T Stat 2.86 14.65 P-Value 0.021 0.000
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