ultiple R Square bservations 0.9723 0.9485 30 Coefficients Standard Error T Stat

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
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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
Multiple Choice
$62,980
Intercept
Production (X)
What total cost would Star predict for a month in which production is 2,000 units?
$197,317
$22,314
0.9723
0.9485
30
$174,177
Coefficients
174,537
11.39
Standard Error
61,137
0.9215
T Stat
2.85
12.36
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 Multiple Choice $62,980 Intercept Production (X) What total cost would Star predict for a month in which production is 2,000 units? $197,317 $22,314 0.9723 0.9485 30 $174,177 Coefficients 174,537 11.39 Standard Error 61,137 0.9215 T Stat 2.85 12.36 P-Value 0.021 0.000
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