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.

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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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