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 \(\boxed{151.7}\).