Star, Incorporated, used Excel to run a least-squs regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations Multiple Choice Intercept Production (X) How much of the variation in cost is not explained by production? O 4.83% 0.9755 0.9517 30 7.87% Coefficients Standard Error T Stat P-Value 175,003 11.57 2.84 0.021 12.55 0.000 It is impossible to determine with the data given.. 2,45% 61,603 0.9213

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Star, Incorporated, used Excel to run a least-squ. regression analysis, which resulted in the following output:
Regression Statistics
Multiple R
R Square
Observations
Multiple Choice
Intercept
Production (X)
How much of the variation in cost is not explained by production?
O
O
O
4.83%
0.9755
0.9517
30
7.87%
Coefficients Standard Error T Stat P-Value
175,003
11.57
2.84
0.021
12.55
0.000
It is impossible to determine with the data given.
2,45%
61,603
0.9213
Transcribed Image Text:Star, Incorporated, used Excel to run a least-squ. regression analysis, which resulted in the following output: Regression Statistics Multiple R R Square Observations Multiple Choice Intercept Production (X) How much of the variation in cost is not explained by production? O O O 4.83% 0.9755 0.9517 30 7.87% Coefficients Standard Error T Stat P-Value 175,003 11.57 2.84 0.021 12.55 0.000 It is impossible to determine with the data given. 2,45% 61,603 0.9213
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