Question: begin{tabular}{ccc|ccc} hline Worker & Test Score & Production Rating & Worker & Test Score & Production Rating hline A & 48 & 50 &

\begin{tabular}{ccc|ccc} \hline Worker & Test
\begin{tabular}{ccc|ccc} \hline Worker & Test
\begin{tabular}{ccc|ccc} \hline Worker & Test Score & Production Rating & Worker & Test Score & Production Rating \\ \hline A & 48 & 50 & K & 49 & 64 \\ B & 31 & 55 & L & 68 & 82 \\ C & 84 & 94 & M & 60 & 54 \\ D & 79 & 84 & N & 24 & 33 \\ E & 81 & 89 & O & 51 & 56 \\ F & 59 & 81 & P & 17 & 32 \\ G & 47 & 54 & Q & 71 & 81 \\ H & 43 & 53 & R & 27 & 39 \\ I & 34 & 48 & S & 46 & 65 \\ J & 62 & 81 & T & 32 & 37 \\ \hline \end{tabular} A manufacturing firm has developed a skills test, the scores from which can be used to predict workers' production rating factors. Click the icon to view the data on the test scores of various workers and their subsequent production ratings. a. Using POM for Windows' least squares-linear regression module, develop a relationship to forecast production ratings from test scores. (Round your responses to three decimal places and include a minus sign if necessary.) Y=+X where Y= Production rating and X= Test score

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