The following data are a result of an investigation as to the effect of reaction temperature x on percent conversion of a chemical process y. (See Myers, Montgomery and Anderson-Cook, 2009.) Fit a simple linear regression model, and test the significance of the coefficients and interpret the results comprehensively. Observation 1 2 3 4 5 6 7 8 99 10 11 12 Temperature (°C), X 200 250 200 250 189.65 260.35 225 225 225 225 225 225 Conversion (%), y 43 78 69 73 48 78 65 74 76 79 83 81

The following data are a result of an investigation as to the effect of reaction temperature x on percent conversion of a chemical process y. (See Myers, Montgomery and Anderson-Cook, 2009.) Fit a simple linear regression model, and test the significance of the coefficients and interpret the results comprehensively. Observation 1 2 3 4 5 6 7 8 99 10 11 12 Temperature (°C), X 200 250 200 250 189.65 260.35 225 225 225 225 225 225 Conversion (%), y 43 78 69 73 48 78 65 74 76 79 83 81

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 3E: For the following table of data. x 1 2 3 4 5 6 7 8 9 10 y 0 0.5 1 2 2.5 3 3 4 4.5 5 a. draw a...

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