Problem

(b) Suppose a sample of 10 pairs of sample data result in a test statistic of $r=0.907$ and the regression equation $\hat{y}=-0.1+6.6 x$. Additionally, $\bar{y}=81.3$ for this data.
What is the best predicted value of $y$ for $x=23$ ?

Answer

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Answer

So, the best predicted value of \(y\) for \(x=23\) is \(\boxed{151.7}\).

Steps

Step 1 :Given the regression equation \(\hat{y}=-0.1+6.6 x\), we need to substitute \(x=23\) into this equation to find the predicted value of \(y\).

Step 2 :Substituting \(x=23\) into the equation gives \(\hat{y}=-0.1+6.6 \times 23\).

Step 3 :Solving the equation gives \(\hat{y}=151.7\).

Step 4 :So, the best predicted value of \(y\) for \(x=23\) is \(\boxed{151.7}\).

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