For the attached data, use MATLAB or any programing language you prefer to plot the data, calculate the linear correlation and identify if there is a strong linear correlation. Attach files of the code. \begin{tabular}{|c|c|} \hlinex & r \\ \hline 2 & 99.3835366 \\ \hline 4 & 93.1459976 \\ \hline 6 & 95.1413056 \\ \hline 8 & 94.2675143 \\ \hline 10 & 93.3322898 \\ \hline 12 & 68.8813436 \\ \hline 14 & 88.7253161 \\ \hline 16 & 94.927012.8 \\ \hline 18 & 90.1280241 \\ \hline 20 & 53.3949465 \\ \hline 22 & 87.1448151 \\ \hline 24 & 86.329946 \\ \hline 26 & 76.5539669 \\ \hline 28 & 73.52359 \\ \hline 30 & 79.7939232 \\ \hline 32 & 71.3679603 \\ \hline 34 & 79.6076026 \\ \hline 36 & 72.6076677 \\ \hline 38 & 67.9450824 \\ \hline 40 & 69.1605911 \\ \hline 42 & 71.499496 \\ \hline 44 & 63.250715 \\ \hline 46 & 75.4242403 \\ \hline 48 & 60.3663061 \\ \hline 50 & 69.5984245 \\ \hline 52 & 60.1292724 \\ \hline 54 & 62.7752191 \\ \hline 56 & 60.9002564 \\ \hline 58 & 45.4763867 \\ \hline \end{tabular} \begin{tabular}{|l|l|} \hline 60 & 48.5740559 \\ \hline 62 & 54.9600406 \\ \hline 64 & 46.3201122 \\ \hline 66 & 60.191222 \\ \hline 68 & 32.9321456 \\ \hline 70 & 51.8269694 \\ \hline 72 & 61.3454085 \\ \hline 74 & 60.3773834 \\ \hline 76 & 59.743926 \\ \hline 78 & 49.7947054 \\ \hline 80 & 41.6133657 \\ \hline 82 & 44.166297 \\ \hline 84 & 25.615452 \\ \hline 86 & 51.6503043 \\ \hline 88 & 17.5086423 \\ \hline 90 & 11.6024566 \\ \hline 92 & 22.8815257 \\ \hline 94 & 35.7700627 \\ \hline 96 & 18.9628297 \\ \hline 98 & 15.6907034 \\ \hline 100 & 41.5567183 \\ \hline \end{tabular}