ABSTRACT
The catalyst and temperature in the production of C4 olefins by ethanol coupling are the core factors affecting the yield of C4 olefins. Therefore, we need to explore the process conditions for preparing C4 olefins by the catalytic coupling of ethanol. We construct a multivariable linear regression model and perform a heteroscedasticity White test, multicollinearity VIF test, and t-test. The linear regression equations of each dependent variable on ethanol conversion rate and C4 olefin selectivity were obtained. The ethanol conversion rate and C4 olefin selectivity were affected by different catalyst combinations and the temperature was quantitatively analyzed according to the regression coefficients.
