A psychologist was interested in whether the amount of news people watch predicts how depressed they are. In this table, what does the value 4.404 represent?

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ANOVA

^{a}

\begin{array}{|l|l|r|r|r|r|r|}\hline \text { Model } &\text { Sum of } &\text { Squares } \text { df } & \text { Mean Square } & F & \text { Sig. } \\\hline 1 \quad \text { Regression } & 3.030 & 1 & 3.030 & 4.404 & .039^{b} \\\quad \text { Residual } & 57.115 & 83 & .688 & & \\\quad \text { Total }& 60.145 & 84 & & & \\\hline \end{array}

a. Dependent Variable: Depression
b. Predictors: (Constant), News Exposure

A)The ratio of how much the prediction of depression has improved by fitting the model, compared to how much variability there is in depression scores
B)The ratio of how much error there is in the model, compared to how much variability there is in depression scores.
C)The ratio of how much the prediction of depression has improved by fitting the model, compared to how much variability there is in depression scores,
D)The ratio of how much the prediction of depression has improved by fitting the model, compared to how much error still remains

Which of the Following Statements About the F-Ratio Is True

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