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Sage, 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 0.9800 0.9604 20 Coefficients 21,239 3.29 Standard Error 6,922 0.5309 T Stat P-Value 3.07 0.007 6.20 0.000 (X) Required: a. What is Sage's total fixed cost? b. What is Sage's variable cost per unit? Note: Round your answer to 2 decimal places. c. What total cost would Sage predict for a month in which it sold 12,000 units? Note: Round your intermediate calculations to 2 decimal places.

Sage, 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 0.9800 0.9604 20 Coefficients 21,239 3.29 Standard Error 6,922 0.5309 T Stat P-Value 3.07 0.007 6.20 0.000 (X) Required: a. What is Sage's total fixed cost? b. What is Sage's variable cost per unit? Note: Round your answer to 2 decimal places. c. What total cost would Sage predict for a month in which it sold 12,000 units? Note: Round your intermediate calculations to 2 decimal places.

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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Sage, 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 0.9800 0.9604 20 Coefficients 21,239 3.29 a. Total Fixed Cost b. Variable Cost c. Total Cost Standard Error 6,922 0.5309 (X) Required: a. What is Sage's total fixed cost? b. What is Sage's variable cost per unit? Note: Round your answer to 2 decimal places. c. What total cost would Sage predict for a month in which it sold 12,000 units? Note: Round your intermediate calculations to 2 decimal places. T Stat P-Value 3.07 0.007 6.20 0.000 per unit
Transcribed Image Text:Sage, 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 0.9800 0.9604 20 Coefficients 21,239 3.29 a. Total Fixed Cost b. Variable Cost c. Total Cost Standard Error 6,922 0.5309 (X) Required: a. What is Sage's total fixed cost? b. What is Sage's variable cost per unit? Note: Round your answer to 2 decimal places. c. What total cost would Sage predict for a month in which it sold 12,000 units? Note: Round your intermediate calculations to 2 decimal places. T Stat P-Value 3.07 0.007 6.20 0.000 per unit
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