An e-commerce fashion retailer is measuring the productivity of its warehouse employees. Productivity is measured by counting the number of orders picked by employees every hour. Management has gathered performance data of 13 randomly selected warehouse employees with varying months of experience. Management would like to know if prior work experience is related to better performance in the warehouse. The performance data are in the following table

Use linear regression to find a relation to forecast Y, which is the number of orders picked up by employees, using the values from the work experience of employees, X. b. Is there a strong relationship between Y and X? Explain

\begin{tabular}{c|c} \hline WorkExperience(months) & NumberofOrdersPicked \\ \hline 30 & 40 \\ \hline 34 & 45 \\ \hline 32 & 43 \\ \hline 37 & 50 \\ \hline 45 & 52 \\ \hline 31 & 40 \\ \hline 28 & 35 \\ \hline 23 & 30 \\ \hline 6 & 20 \\ \hline 35 & 47 \\ \hline 38 & 48 \\ \hline 32 & 42 \\ \hline 31 & 40 \\ \hline \end{tabular}