In a Regression Analysis Involving 18 Observations and Four Independent $$\begin{array} { l } \text { Multiple } R = .6000 \\\text { R Square } = .3600 \\\text { Standard Error } = 4.8000\end{array}$$

question 23

Essay

In a regression analysis involving 18 observations and four independent variables, the following information was obtained: $$\begin{array} { l } \text { Multiple } R = .6000 \\\text { R Square } = .3600 \\\text { Standard Error } = 4.8000\end{array}$$ Based on the above information, fill in all the blanks in the following ANOVA table. $$\begin{array}{l}\begin{array} { l l l l l } \text { Source of Variation } & \text { Degrees of } & \text { Sum of } & \text { Mean } & \text { F } \\& \text { Freedom } & \text { Squares } & \text { Squares } \\\text { Regression } & \_\_\_\_? & \_\_\_\_?& \_\_\_\_?& \_\_\_\_? \\ \text { Error (Residual) } & \_\_\_\_? & \_\_\_\_? & \_\_\_\_?\\\text { Total } & \_\_\_\_? & \_\_\_\_?\end{array}\end{array}$$

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Definitions:

Coulomb

A quantity of electrons equal to 6.253 x 10^18.

Amperage

The strength of an electric current measured in amperes, indicating the flow rate of electric charge through a conductor.

Electrical Circuit

A network consisting of a closed loop, giving a return path for electric current to flow, which includes at least one power source and one electrical component.

Resistance

The opposition to the flow of electric current through a conductor, quantified in ohms (Ω).