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Here Is Some Output from a Regression Analysis  Model Summary \text { Model Summary }

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Here is some output from a regression analysis:
 Model Summary \text { Model Summary }
RR Square .436a.190\begin{array}{|l|r|r|}\hline & R & R \text { Square } \\\hline & .436^{a} & .190 \\\hline\end{array}
a. Predictors: (Constant), Age When First Married,
Number of Brothers and Sisters, Age of Respondent  Standardized  Coefficients Model Beta t Sig. 1Number of Brothers and Sisters.1525.787.000 Age of Respondent.29911.338.000 Age When First Married.28310.802.000\begin{array}{|l|r|r|r|}\hline &\text { Standardized } \\&\text { Coefficients }\\Model&\text { Beta } & t& {\text { Sig. }} \\\hline 1 \quad \text{Number of Brothers and Sisters}&.152 & 5.787 & .000 \\ ~\quad\text{Age of Respondent}&.299 & 11.338 & .000 \\~ \quad\text{Age When First Married}&-.283 & -10.802 & .000 \\\hline\end{array}
-Which of the three independent variables is the best predictor? How can you tell?


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