Since, value of R-square is 0.6521 management should use the cost equation with caution. Hence, option A is correct.
R-square indicate the accuracy of the 'best fit' line in a diverse cost structure. The more the value of R-square indicates, the more accurately cost can be predicted. Generally a R-square value greater than 0.90 indicates that cost can be predicted reasonably.
Option B is not correct because management should consider the value of R-square in regression analysis it cant be ignored.
Option C is incorrect because even if value of R-square is is above 50% management cant rely fully unless value is close to 90% or above.
Option D is incorrect because management cant always on the regression analysis as it depends upon value of R-square.
The managerial accountant at Organic Beverage Factory used spreadsheet software to run a regression analysis scenario...
The managerial accountant at Organic Beverage Factory used spreadsheet software to run a regression analysis scenario and compile the following monthly cost data: Organic Beverage Factory Intercept coefficient X Variable 1 Coefficient R-square $4,286,652 $28.21 0.6521 Which of the following is the correct estimated cost at a level of 8,000 units, based on the results of the regression analysis compiled by the managerial accountant? O A. $4,512,332 OB. $4,286,652 O c. $225,680 O D. $4,291,869
Star, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R 0.9755 R Square Observations 30 0.9517 Coefficients 175,003 Intercept Production (X) Standard Error 61,603 0.9213 T Stat 2.84 12.55 P.Value 0.021 0.000 How much of the variation in cost is explained by production? O it is impossible to determine. O 97.55% O 9213% O 95.17%
0 Regression analysis Regression Statistics Multiple R 0.86 R Square 0.75 Adjusted R Square 0.70 Standard Error 171.55 Observations 7 ANOVA of SS Significance F 0 .0120 Regression 1 M SF 435,336.22 29,429.90 435,336.22 147,149.49 14.79 Residual 6 582,485.71 Total Coefficients 709.81 0.29 Standard Error t 1,150.73 0.07 Stat 0.62 3.85 Lower P-value 95% 0.56 -2,248.24 0.010.09 Intercept X Variable 1 Upper 95% 3,667.85 0.48 Print Done E6-28A (similar to) Question Help Kim Meyer, owner of Tulip Time, operates a...
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