Round the normal scores to 2 decimals:
\begin{tabular}{|l|l|}
\hline Observed Value \\
\hline 30.26 \\
\hline 31.35 & Normal Score \\
\hline 32.91 & \\
\hline 33.06 \\
\hline 33.37 & \\
\hline 33.52 & \\
\hline
\end{tabular}
Find the linear correlation coefficient. Round to 4 decimals: $r=$

Step 1 ：Round the normal scores to 2 decimals: \begin{tabular}{|l|l|} \hline Observed Value \ \hline 30.26 \ \hline 31.35 & Normal Score \ \hline 32.91 & \ \hline 33.06 \ \hline 33.37 & \ \hline 33.52 & \ \hline \end{tabular}

Step 2 ：Find the linear correlation coefficient. Round to 4 decimals: r=

Step 3 ：The linear correlation coefficient, also known as Pearson's correlation coefficient, is a measure of the strength and direction of association between two continuous variables. In this case, we are given a list of observed values but we don't have the corresponding normal scores. We need two sets of data to calculate the correlation coefficient.

Step 4 ：Therefore, we cannot calculate the correlation coefficient with the given data.

Step 5 ：\(\boxed{\text{The question does not provide enough information to calculate the linear correlation coefficient.}}\)