Exhibit 12-9
a Regression and Correlation Analysis Resulted in the Following

question 78

Multiple Choice

Exhibit 12-9
A regression and correlation analysis resulted in the following information regarding a dependent variable y) and an independent variable x) .
$\begin{array}{ll}\Sigma \mathrm{X}=90 & \Sigma \mathrm{Y}-{\bar{\mathrm{Y}}) X}-\bar{X}) =466 \\\Sigma \mathrm{Y}=170 & \Sigma \mathrm{Y}-\overline{\mathrm{Y}}) ^{2}=1434 \\\mathrm{n}=10\\\mathrm{SSE}=505.98 & \Sigma \mathrm{X}-\bar{X}) ^{2}=234 \end{array}$

-Refer to Exhibit 12-9. The sum of squares due to regression SSR) is

• A) 1434
• B) 505.98
• C) 50.598
• D) 928.02

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Definitions:

Profit (or Loss) Per Unit

The amount of money gained or lost on each unit of a product sold, calculated as the difference between the selling price and the cost of production.

Total Profit

is the financial gain made by a business after subtracting all expenses, taxes, and costs associated with generating the revenue.

Profit Per Unit

The amount of profit generated by selling one unit of a product or service.

Profit Maximizing

The process or strategy employed by businesses to increase their profits to the highest possible level given their resources and constraints.