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Jayson Company Used Regression Analysis to Predict the Annual Cost

Question 73

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Jayson Company used regression analysis to predict the annual cost of indirect materials.The results were as follows:
 Indirect Materials Cost  Explained by Units Produced  Constant 14,885 Standard error of Y estimate 0.90 R-Squared 0.60 No. of observations 22 Degrees of freedom 20 X Coefficient 0.70 Standard error of coefficient 2.1876\begin{array}{ll}&\text { Indirect Materials Cost }\\&\text { Explained by Units Produced }\\\text { Constant } & 14,885 \\\text { Standard error of } Y \text { estimate } & 0.90 \\\text { R-Squared } & 0.60 \\\text { No. of observations } & 22 \\\text { Degrees of freedom } & 20 \\\text { X Coefficient } & 0.70 \\\text { Standard error of coefficient } & 2.1876\end{array}
The coefficient of determination is ________.


A) 0.60
B) 0.70
C) 0.90
D) 1.10

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