Question

\begin{tabular}{|c|c|c|c|} \hline & \multicolumn{3}{|c|}{ Descriptive Statistics } \\ \hline & Mean & \begin{tabular}{c} Std. \\ Deviation \end{tabular} & \( \mathrm{N} \) \\ \hline Oral & 4.2772 & 3.54998 & 101 \\ \hline \( \mathrm{BD} \) & 52.6832 & 13.75277 & 101 \\ \hline \end{tabular} Histogram Correlations \begin{tabular}{llr|r} & & Oral & \multicolumn{1}{c}{ BD } \\ \hline Pearson & Oral & 1.000 & .655 \\ \cline { 2 - 4 } Correlation & BD & .655 & 1.000 \\ \hline Sig. (1-tailed) & Oral &. & \( <.001 \) \\ \cline { 2 - 4 } & BD & .000 & \\ \hline \( \mathrm{N} \) & Oral & 101 & 101 \\ \cline { 2 - 4 } & BD & 101 & 101 \\ \hline \end{tabular} Dependent Variable: Oral Model Summary \( { }^{0} \) \begin{tabular}{|c|c|c|c|c|} \hline & & 10 & & \\ \hline & \( R \) & R Square & \begin{tabular}{l} Adjusted R \\ Square \end{tabular} & \begin{tabular}{l} Std. Error of \\ the Estimate \end{tabular} \\ \hline & \( .655^{\circ} \) & .429 & .42 & 2.69660 \\ \hline \end{tabular} a. Predictors: (Constant), BD b. Dependent Variable: Oral ANOVA \begin{tabular}{|c|c|c|c|c|c|c|} \hline & & & \( V^{a} \) & & & \\ \hline Model & & \begin{tabular}{l} Sum of \\ Squares \end{tabular} & \( \mathrm{df} \) & \begin{tabular}{l} Mean \\ Square \end{tabular} & \( \mathrm{F} \) & Sig. \\ \hline 1 & Regression & 540.344 & 1 & 540.344 & 74.308 & \( <.001^{\circ} \) \\ \hline & Residual & 719.894 & 99 & 7.272 & & \\ \hline & Total & 1260.238 & 100 & & & \\ \hline \end{tabular} a. Dependent Variable: Oral b. Predictors: (Constant), BD

          \begin{tabular}{|c|c|c|c|}
\hline & \multicolumn{3}{|c|}{ Descriptive Statistics } \\
\hline & Mean & \begin{tabular}{c} 
Std. \\
Deviation
\end{tabular} & \( \mathrm{N} \) \\
\hline Oral & 4.2772 & 3.54998 & 101 \\
\hline \( \mathrm{BD} \) & 52.6832 & 13.75277 & 101 \\
\hline
\end{tabular}

Histogram

Correlations
\begin{tabular}{llr|r} 
& & Oral & \multicolumn{1}{c}{ BD } \\
\hline Pearson & Oral & 1.000 & .655 \\
\cline { 2 - 4 } Correlation & BD & .655 & 1.000 \\
\hline Sig. (1-tailed) & Oral &. & \( <.001 \) \\
\cline { 2 - 4 } & BD & .000 & \\
\hline \( \mathrm{N} \) & Oral & 101 & 101 \\
\cline { 2 - 4 } & BD & 101 & 101 \\
\hline
\end{tabular}

Dependent Variable: Oral

Model Summary \( { }^{0} \)
\begin{tabular}{|c|c|c|c|c|}
\hline & & 10 & & \\
\hline & \( R \) & R Square & \begin{tabular}{l} 
Adjusted R \\
Square
\end{tabular} & \begin{tabular}{l} 
Std. Error of \\
the Estimate
\end{tabular} \\
\hline & \( .655^{\circ} \) & .429 & .42 & 2.69660 \\
\hline
\end{tabular}
a. Predictors: (Constant), BD
b. Dependent Variable: Oral
ANOVA
\begin{tabular}{|c|c|c|c|c|c|c|}
\hline & & & \( V^{a} \) & & & \\
\hline Model & & \begin{tabular}{l} 
Sum of \\
Squares
\end{tabular} & \( \mathrm{df} \) & \begin{tabular}{l} 
Mean \\
Square
\end{tabular} & \( \mathrm{F} \) & Sig. \\
\hline 1 & Regression & 540.344 & 1 & 540.344 & 74.308 & \( <.001^{\circ} \) \\
\hline & Residual & 719.894 & 99 & 7.272 & & \\
\hline & Total & 1260.238 & 100 & & & \\
\hline
\end{tabular}
a. Dependent Variable: Oral
b. Predictors: (Constant), BD

3|c| Descriptive Statistics

Mean
Std.

Deviation
N

Oral 4.2772 3.54998 101

BD 52.6832 13.75277 101

Histogram

Correlations

Oral 1c BD

Pearson Oral 1.000 .655

2 - 4 Correlation BD .655 1.000

Sig. (1-tailed) Oral . <.001

2 - 4 BD .000

N Oral 101 101

2 - 4 BD 101 101

Dependent Variable: Oral

Model Summary ^0

10

R R Square
Adjusted R

Square

Std. Error of

the Estimate

.655^∘ .429 .42 2.69660

a. Predictors: (Constant), BD
b. Dependent Variable: Oral
ANOVA

V^a

Model
Sum of

Squares
df
Mean

Square
F Sig.

1 Regression 540.344 1 540.344 74.308 <.001^∘

Residual 719.894 99 7.272

Total 1260.238 100

a. Dependent Variable: Oral
b. Predictors: (Constant), BD

Added by Dana F.

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