\begin{tabular}{|c|c|} \hline Date & Price (\$) \\ \hline Nov. 3 & 82.97 \\ \hline Nov. 4 & 83.02 \\ \hline Nov. 7 & 83.58 \\ \hline Nov. 8 & 83.15 \\ \hline Nov. 9 & 82.83 \\ \hline Nov. 10 & 84.05 \\ \hline Nov. 11 & 84.64 \\ \hline Nov. 14 & 84.36 \\ \hline Nov. 15 & 85.48 \\ \hline Nov. 30 & 88.98 \\ \hline Nov. 16 & 86.53 \\ \hline Nov. 17 & 86.90 \\ \hline Nov. 18 & 87.68 \\ \hline Nov. 21 & 87.31 \\ \hline Nov. 22 & 87.99 \\ \hline Nov. 23 & 88.86 \\ \hline \end{tabular} Define the independent variable Period, where Period =1 corresponds to the data for November 3 , Period =2 corresponds to the data for November 4 , Period =3 corresponds to the data for November 7 , and so on. Develop the estimated regression equation that can be used to predict the closing price (in dollars per share) given the value of Period. Use x for Period. (Round your numerical values to two decimal places.) Find the value of the test statistic. (Round your answer to two decimal places.) What are the critical values? (Round your answers to two decimal places.) dL=dU=