In a chemical engineering study, you are investigating the factors influencing the efficiency of a chemical process. The variables of interest include temperature $(\backslash$deg C$),$ pressure $($atm$),$ and concentration $($mol$/$L$).$ You have collected data for $10$ experiments, each with different values for these variables. Your goal is to develop a multiple regression model to predict the efficiency of the process based on these factors.

Experiment Temperature $(\backslash$deg C$)$ Pressure $($atm$)$ Concentration $($mol$/$L$)$ Efficiency $(\%)$

$150200\mathrm{.}585260250\mathrm{.}878370301\mathrm{.}092455220\mathrm{.}680565280\mathrm{.}975675321\mathrm{.}288758240\mathrm{.}782868291\mathrm{.}187972311\mathrm{.}390$

$1062260\mathrm{.}7579$

a$.$ Organize the data in a format suitable for multiple regression analysis. Perform multiple regression analysis using both Excel and Minitab.

b$.$ Interpret the results, including coefficients, P$-$values, and R$-$squared.

c$.$ State your assumptions and check your assumptions using relevant software outputs.

d$.$ Compare the results obtained from Excel and Minitab and discuss any similarities or

differences.