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In a chemical engineering study, you are investigating the factors influencing the efficiency of a chemical process. The variables of interest include temperature (

In a chemical engineering study, you are investigating the factors influencing the efficiency of a chemical process. The variables of interest include temperature (\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 (\deg C) Pressure (atm) Concentration (mol/L) Efficiency (%)
150200.585260250.878370301.092455220.680565280.975675321.288758240.782868291.187972311.390
1062260.7579
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.

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