Compute the standard error of the estimate for the data below
$\begin{array}{lcccc}
\text { X values } & -3 & 1 & 3 & 9 \
\text { Y values } & 3 & 2 & -4 & 0
\end{array}$
A) 3.36
B) 3.93
C) 7.06
D) 9.07

Question

Compute the standard error of the estimate for the data below 
$\begin{array}{lcccc}
\text { X values } & -3 & 1 & 3 & 9 \
\text { Y values } & 3 & 2 & -4 & 0
\end{array}$
A) 3.36
B) 3.93
C) 7.06
D) 9.07

Quizplus · Accepted Answer

The standard error of the estimate is calculated using the formula: $SE = \sqrt{\frac{\sum (Y_i - \hat{Y_i})^2}{n-2}}$. After calculating the regression line and residuals, the standard error is approximately 3.36.

Compute the Standard Error of the Estimate for the Data X values −3139 Y values 32−40\begin{array}{lcccc}\text { X values } & -3 & 1 & 3 & 9 \\\text { Y values } & 3 & 2 & -4 & 0\end{array} X values Y values ​−33​12​3−4​90​

Compute the Standard Error of the Estimate for the Data $\begin{array}{lcccc}\text { X values } & -3 & 1 & 3 & 9 \\\text { Y values } & 3 & 2 & -4 & 0\end{array}$