Multiple Regression Analysis Table

Table 1
Multiple Regression Analysis Predicting GPA from Study Hours, Prior Test Score, and Motivation

Note. N = 120 students. Model R² = .42, F(3, 116) = 31.2, p < .001. B = unstandardized regression coefficient, SE = standard error of B, β = standardized regression coefficient.

* p < .05. ** p < .01. *** p < .001

Word-Compatible Format (Copy and paste this into your dissertation):

Table 1
Multiple Regression Analysis Predicting GPA from Study Hours, Prior Test Score, and Motivation

Predictor             B      SE     β      t      p
Study Hours           0.15   0.04   .28    3.75   .001***
Prior Test Score      0.18   0.05   .32    3.60   .001***
Motivation            0.22   0.08   .19    2.75   .007**

Note. N = 120 students. Model R² = .42, F(3, 116) = 31.2, p < .001. B = unstandardized 
regression coefficient, SE = standard error of B, β = standardized regression coefficient.

* p < .05. ** p < .01. *** p < .001

WORD FORMATTING INSTRUCTIONS:
1. Italicize ALL instances of: B, SE, β, t, p, N, R, F
2. Keep the table title in regular (non-italic) text
3. Superscript the *, **, and *** if your committee requires it (check with advisor)
4. Double-check that "Note" at the beginning of the note is also italicized
5. Note: The R² needs both R and the ² superscript italicized

LaTeX Format (For LaTeX dissertation templates):

\begin{table}[htbp]
\caption{Multiple Regression Analysis Predicting GPA from Study Hours, Prior Test Score, and Motivation}
\label{tab:regression_gpa}
\begin{tabular}{lcccccc}
\hline
Predictor & \textit{B} & \textit{SE} & \textit{β} & \textit{t} & \textit{p} \\
\hline
Study Hours & 0.15 & 0.04 & .28 & 3.75 & .001*** \\
Prior Test Score & 0.18 & 0.05 & .32 & 3.60 & .001*** \\
Motivation & 0.22 & 0.08 & .19 & 2.75 & .007** \\
\hline
\end{tabular}
\vspace{2mm}

\textit{Note}. \textit{N} = 120 students. Model \textit{R}$^2$ = .42, \textit{F}(3, 116) = 31.2, \textit{p} < .001. \textit{B} = unstandardized regression coefficient, \textit{SE} = standard error of \textit{B}, \textit{β} = standardized regression coefficient.

* \textit{p} < .05. ** \textit{p} < .01. *** \textit{p} < .001
\end{table}