A random sample of 93 freshmen at the University of Illinois...

A random sample of 93 freshmen at the University of Illinois was asked to rate, on a scale of 1 (low) to 10 (high), their overall opinion of residence hall life. They were also asked to rate their levels of satisfaction with roommates, with the floor, with the hall, and with the resident advisor. (Information on satisfaction with the room itself was obtained, but this was later discarded as it provided no useful additional power in explaining overall opinion.) The following model was estimated: $$ Y=\beta_0+\beta_1 X_1+\beta_2 X_2+\beta_3 X_3+\beta_4 X_4+\varepsilon $$ where $$ \begin{aligned} Y & =\text { overall opinion of residence hall } \\ X_1 & =\text { satisfaction with roommates } \\ X_2 & =\text { satisfaction with floor } \\ X_3 & =\text { satisfaction with hall } \\ X_4 & =\text { satisfaction with resident advisor } \end{aligned} $$ Use the accompanying portion of the computer output from the estimated regression to write a report summarizing the findings of this study. Dependent Variable: $Y$ Overall Opinion $$ \begin{array}{lrcccc} \hline & & \text { Sum of } & \text { Mean } & & \\ \text { Source } & \text { DF } & \text { Squares } & \text { Square } & F \text { Value } & R \text {-Square } \\ \hline \text { Model } & 4 & 37.016 & 9.2540 & 9.958 & 0.312 \\ \text { Error } & 88 & 81.780 & 0.9293 & & \\ \text { Total } & 92 & 118.79 & & & \\ \hline \end{array} $$ $$ \begin{array}{lccc} \hline \text { Parameter } & \text { Estimate } & \begin{array}{c} \text { Student's } t \\ \text { for } H_0: \end{array} & \begin{array}{c} \text { Std. Error of } \\ \text { Estimate } \end{array} \\ \hline \text { Intercept } & 3.950 & 5.84 & 0.676 \\ \mathrm{X}_1 & 0.106 & 1.69 & 0.063 \\ \mathrm{X}_2 & 0.122 & 1.70 & 0.072 \\ \mathrm{X}_3 & 0.092 & 1.75 & 0.053 \\ \mathrm{X}_4 & 0.169 & 2.64 & 0.064 \\ \hline \end{array} $$

A random sample of 93 freshmen at the University of Illinois was asked to rate, on a scale of 1 (low) to 10 (high), their overall opinion of residence hall life. They were also asked to rate their levels of satisfaction with roommates, with the floor, with the hall, and with the resident advisor. (Information on satisfaction with the room itself was obtained, but this was later discarded as it provided no useful additional power in explaining overall opinion.) The following model was estimated:
$$
Y=\beta_0+\beta_1 X_1+\beta_2 X_2+\beta_3 X_3+\beta_4 X_4+\varepsilon
$$
where
$$
\begin{aligned}
Y & =\text { overall opinion of residence hall } \\
X_1 & =\text { satisfaction with roommates } \\
X_2 & =\text { satisfaction with floor } \\
X_3 & =\text { satisfaction with hall } \\
X_4 & =\text { satisfaction with resident advisor }
\end{aligned}
$$
Use the accompanying portion of the computer output from the estimated regression to write a report summarizing the findings of this study.
Dependent Variable: $Y$ Overall Opinion

$$
\begin{array}{lrcccc}
\hline & & \text { Sum of } & \text { Mean } & & \\
\text { Source } & \text { DF } & \text { Squares } & \text { Square } & F \text { Value } & R \text {-Square } \\
\hline \text { Model } & 4 & 37.016 & 9.2540 & 9.958 & 0.312 \\
\text { Error } & 88 & 81.780 & 0.9293 & & \\
\text { Total } & 92 & 118.79 & & & \\
\hline
\end{array}
$$
$$
\begin{array}{lccc}
\hline \text { Parameter } & \text { Estimate } & \begin{array}{c}
\text { Student's } t \\
\text { for } H_0:
\end{array} & \begin{array}{c}
\text { Std. Error of } \\
\text { Estimate }
\end{array} \\
\hline \text { Intercept } & 3.950 & 5.84 & 0.676 \\
\mathrm{X}_1 & 0.106 & 1.69 & 0.063 \\
\mathrm{X}_2 & 0.122 & 1.70 & 0.072 \\
\mathrm{X}_3 & 0.092 & 1.75 & 0.053 \\
\mathrm{X}_4 & 0.169 & 2.64 & 0.064 \\
\hline
\end{array}
$$

Thanks for your feedback!

Play audio

Feedback

Please give Ace some feedback