rses/65283/quizzes/642699/take/questions/10880842
Question 45
1 pts
The best-fit prediction line derived from the SPSS output tables below is statistically significant at predicting salary based on years spent in service.
Model Summary
\begin{tabular}{|l|l|r|r|r|}
\hline Model & R & R Square & \begin{tabular}{c}
Adjusted R \\
Square
\end{tabular} & \begin{tabular}{c}
Std. Error of \\
the Estimate
\end{tabular} \\
\hline 1 & \( .701^{2} \) & .491 & .364 & 4502.9091 \\
\hline
\end{tabular}
a. Predictors: (Constant), Year of services
ANOVA \( { }^{a} \)
\begin{tabular}{|ll|c|r|c|c|c|}
\hline \multicolumn{2}{|l|}{ Model } & & \begin{tabular}{c}
Sum of \\
Squares
\end{tabular} & df & Mean Square & F \\
\hline 1 & Regression & 78228571.43 & 1 & 78228571.43 & 3.858 & \( 121^{\text {b }} \) \\
& Residual & 81104761.90 & 4 & 20276190.48 & & \\
\hline & Total & 159333333.3 & 5 & & & \\
\hline
\end{tabular}
a. Dependent Variable: Salary
b. Predictors: (Constant), Year of senvices
Coefficients \( { }^{a} \)
\begin{tabular}{|c|c|c|c|c|c|c|}
\hline \multicolumn{2}{|l|}{\multirow[b]{2}{*}{Model}} & \multicolumn{2}{|l|}{Unstandardized Coefficients} & \multirow[t]{2}{*}{\begin{tabular}{l}
Standardized \\
Coefficients \\
Beta
\end{tabular}} & \multirow[b]{2}{*}{t} & \multirow[b]{2}{*}{Sig.} \\
\hline & & \( B \) & Std. Etror & & & \\
\hline 1 & (Constant) & 933.333 & 4191.980 & & 223 & 835 \\
\hline & Year of senvices & 2114.286 & 1076.401 & 701 & 1.964 & 121 \\
\hline
\end{tabular}
a. Dependent Variable: Salary