The manager of the main laboratory facility at UrbanFit Center is interested in being able to predict the overhead costs each month for the lab. The manager believes that total overhead varies with the number of lab tests performed but that some costs remain the same each month regardless of the number of lab tests performed. The lab manager collected the following data for the first seven months of the year. (Click the icon to view the data.) The laboratory manager performed a regression analysis to predict total laboratory overhead costs. The output generated by Excel is as follows: (Click the icon to view the completed regression analysis.) Read the requirements. Requirement 1. Determine the lab's cost equation (use the output from the Excel regression). (Round the amounts to two decimal places.) y=x+ Data table \begin{tabular}{|c|c|c|c|c|c|c|c|} \hline & A & B & C & D & E & F & G \\ \hline 1 & \multicolumn{3}{|c|}{ SUMMARY OUTPUT } & & & & \\ \hline 2 & \multicolumn{3}{|c|}{ Regression Statistics } & & & & \\ \hline 3 & \multicolumn{2}{|l|}{ Multiple R } & 0.880534 & & & & \\ \hline 4 & \multicolumn{2}{|l|}{ R Square } & 0.77534 & & & & \\ \hline 5 & \multicolumn{2}{|c|}{ Adjusted R Square } & 0.730408 & & & & \\ \hline 6 & \multicolumn{2}{|l|}{ Standard Error } & 1868.82221 & & & & \\ \hline 7 & \multicolumn{2}{|l|}{ Observations } & 7 & & & & \\ \hline 8 & ANOVA & & & & & & \\ \hline 9 & & df & SS & MS & F & Significance F & \\ \hline 10 & Regression & 1 & 60266089.17 & 60266089.17 & 17.255877 & 0.008875 & \\ \hline 11 & Residual & 5 & 17462482.26 & 3492496.451 & & & \\ \hline 12 & Total & 6 & 77728571.43 & & & & \\ \hline 13 & & Coefficients & Standard Error & t Stat & P-value & Lower 95\% & Upper 95\% \\ \hline 14 & Intercept & 14409.92 & 2688.513 & 5.360 & 0.003 & 7498.876 & 21320.960 \\ \hline 15 & X Variable 1 & 3.92 & 0.943 & 4.154 & 0.009 & 1.494 & 6.343 \\ \hline \end{tabular} Requirements 1. Determine the lab's cost equation (use the output from the Excel regression). 2. Determine the R-squared (use the output from the Excel regression). 3. Predict the total laboratory overhead for the month if 2,800 tests are performed