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The Kojak Company Used Regression Analysis to Predict the Annual

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The Kojak Company used regression analysis to predict the annual cost of utilities. The results were as follows: Utilities Cost
Explained by Direct Labor Hours
 Constant $9,650 Standard error of Y estimate $875.20R - squared 0.7650 No. of obs ervations 33 Degrees of freedom 31 X coefficient(s)  4.43 Standard error of coefficient(s)  0.917\begin{array}{ll}\text { Constant } & \$ 9,650 \\\text { Standard error of Y estimate } & \$ 875.20 \\R \text { - squared } & 0.7650 \\\text { No. of obs ervations } & 33\\\text { Degrees of freedom } & 31 \\\text { X coefficient(s) } & 4.43 \\\text { Standard error of coefficient(s) } & 0.917\end{array} The variable cost per direct labor hour is:


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Phosphate

A chemical compound containing the phosphate ion, PO4^3-, which plays a critical role in biological systems, including energy transfer and the structure of DNA and RNA.

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