We run a regression model using GSS2006 data. The dependent variable is an index of support for science (where 0=no support for science, up to 9=full support for science).
$\begin{array}{lcc}
\text { Independent Variable } & \text { Model } 1 & \text { Model } 2 \
\text { Sex (Female=0, Male }=1) & .19^{*} & -.09 \
\text { Race (White }=0, \text { Black=1) } & -.74 * * * & -.62^{* * *} \
\text { Religiosity }(0=\text { not ...9=very) } & -.- & -.12^{* * *} \
\text { Constant } & 5.54 & 6.21 \
\text { R-Squared } & .04 & .07 \
\mathrm{n} & 1527 & 1527
\end{array}$ Explain what these models tell us.

Question

We run a regression model using GSS2006 data. The dependent variable is an index of support for science (where 0=no support for science, up to 9=full support for science).
 $\begin{array}{lcc}
\text { Independent Variable } & \text { Model } 1 & \text { Model } 2 \
\text { Sex (Female=0, Male }=1) & .19^{*} & -.09 \
\text { Race (White }=0, \text { Black=1) } & -.74 * * * & -.62^{* * *} \
\text { Religiosity }(0=\text { not ...9=very) } & -.- & -.12^{* * *} \
\text { Constant } & 5.54 & 6.21 \
\text { R-Squared } & .04 & .07 \
\mathrm{n} & 1527 & 1527
\end{array}$ Explain what these models tell us.

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The Answer of We run a regression model using GSS2006 data. The dependent variable is an index of support for science (where 0=no support for science, up to 9=full support for science).
 $\begin{array}{lcc}
\text { Independent Variable } & \text { Model } 1 & \text { Model } 2 \
\text { Sex (Female=0, Male }=1) & .19^{*} & -.09 \
\text { Race (White }=0, \text { Black=1) } & -.74 * * * & -.62^{* * *} \
\text { Religiosity }(0=\text { not ...9=very) } & -.- & -.12^{* * *} \
\text { Constant } & 5.54 & 6.21 \
\text { R-Squared } & .04 & .07 \
\mathrm{n} & 1527 & 1527
\end{array}$ Explain what these models tell us.

We Run a Regression Model Using GSS2006 Data Explain What These Models Tell Us