An experiment was performed in chemical engineering in order toinvestigate the conditions most appropriate to efficiently convertn-heptane to acetylene. (These are chemicals used as fuel, amongstother things.) The experiment consisted of 16 runs. The responsevariable, y, was the amount of n-heptane converted to acetylene,expressed as a percentage. There were two explanatory variables:T₁: the temperature (°C) at which the experimental run took place;12: the 'mole ratio of hydrogen to n-heptane.The multiple regression model fitted to the data from this experiment isy = -130.7+0.134 z1 +0.351 22.(You may assume that a graphical analysis of residuals suggests thatthis model fits well.)(i) Interpret what the values of the two regression coefficients tell usabout the conversion of n-heptane to acetylene.(ii) What, according to the fitted model, is the predicted conversionpercentage if the temperature is 1200°C and the mole ratio is 10?(iii) The p-value for the two-sided test of the null hypothesisHo: 31 = 0 is 0.000, and the p-value for the two-sided test of thenull hypothesis Ho: 3₂=0 is 0.059. Do the data suggest that bothtemperature and mole ratio together influence the conversionpercentage?

From the given information, the multiple-regression model fitted to the data is, y = -130.7+ 0.134…

Answered: An experiment was performed in chemical…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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