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Consider the Following Partial Computer Output from a Simple Linear

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Consider the following partial computer output from a simple linear regression analysis:  Predictor  Coef  SE Coef TP Constant 5566.1254.021.910.000 Independent Var 210.3524.19\begin{array} { l l c c c } \text { Predictor } & \text { Coef } & \text { SE Coef } & \mathrm { T } & \mathrm { P } \\\text { Constant } & 5566.1 & 254.0 & 21.91 & 0.000 \\\text { Independent Var } & - 210.35 & 24.19 & - &\end{array} S = _________ R-Sq =
Analysis of Variance  Source  DF  SS  MS  F  P  Regression 13963719396371975.590.000 Residual Error 14___52439 Total 15___\begin{array}{lccrcc}\text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\\text { Regression } & 1 & 3963719 & 3963719 & 75.59 & 0.000 \\\text { Residual Error } & 14 &\_\_\_ & 52439 & &\\\text { Total }&15&\_\_\_\end{array}
-What is the predicted value of y when x = 8.5?

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Definitions:

Added Profit

The additional profit generated from an activity or investment beyond the usual or expected return.

Expected-Rate-of-Return-Curve

A graphical representation that shows the relationship between the expected return on investment and the level of investment risk.

Law of Diminishing Returns

A principle stating that as investment in a particular area increases, the rate of profit from that investment, after a certain point, cannot continue to increase if other variables remain at a constant.

Retained Earnings

Profits that a company keeps after dividends are paid, often used for reinvestment, paying off debt, or building reserves.

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