19
1 point
For a particular set of \( x \) and \( y \) values, a calculator gives the following information:
\[
n=4, \sum x=20, \sum x^{2}=140, \sum y=19, \sum y^{2}=97, \sum x y=111, \bar{x}=5, \bar{y}=4.75, r=0.974
\]
and for the regression equation \( \hat{y}=b_{0}+b_{1} x \), it is found that \( b_{0}=2.75 \) and \( b_{1}=0.40 \).
State the prediction interval at \( x_{0}=4 \) with \( 95 \% \) confidence as a compound inequality: \( \hat{y}-E<y<\hat{y}+E \), or in interval notation: \( (\hat{y}-E, \hat{y}+E) \). (Round values to 2 decimal places.)
\( \square \) or
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Note (1): You only have to do one of the notations.
Note (2): Round to 2 decimal places.