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Star, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations Standard Error T Stat 61,315 Intercept Production (X) 0.9270 What total cost would Star predict for a month in which production is 2,000 units? Multiple Choice $198,535 O $175.395 0.9777 0.9539 30 $63,369 Coefficients 174,715 11.91 2.85 12.85 P-Value 0.021 0.000

Star, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations Standard Error T Stat 61,315 Intercept Production (X) 0.9270 What total cost would Star predict for a month in which production is 2,000 units? Multiple Choice $198,535 O $175.395 0.9777 0.9539 30 $63,369 Coefficients 174,715 11.91 2.85 12.85 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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Star, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations Standard Error T Stat 61,315 Intercept Production (X) 0.9270 What total cost would Star predict for a month in which production is 2,000 units? Multiple Choice $198,535 $175,395 8.9777 0.9539 30 $63,169 Coefficients 174,715 11.91 2.85 12.85 P-Value 0.021 0.000
Transcribed Image Text:Star, Incorporated, used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations Standard Error T Stat 61,315 Intercept Production (X) 0.9270 What total cost would Star predict for a month in which production is 2,000 units? Multiple Choice $198,535 $175,395 8.9777 0.9539 30 $63,169 Coefficients 174,715 11.91 2.85 12.85 P-Value 0.021 0.000
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