A set of experimental runs was made to determine a way of predicting cooking time y at various values of oven width and flue temperature . The coded data were recorded as follows: yX,6.41.321.1515.052.693.418.753.564.130.254.418.7544.855.3514.8248.946.215.1551.557.1215.3261.58.8718.18100.449.835.19111.4210.6540.40Estimate the multiple linear regression equation.

Given that, The coded data of a way of predicting cooking time y at various values of oven width and…

y X, X2 6.4 1.32 1.15 15.05 2.69 3.4 18.75 3.56 4.1 30.25 4.41 8.75 44.85 5.35 14.82 48.94 6.2 15.15 51.55 7.12 15.32 61.5 8.87 18.18 100.44 9.8 35.19 111.42 10.65 40.40 Estimate the multiple linear regression equation.

y X, X2 6.4 1.32 1.15 15.05 2.69 3.4 18.75 3.56 4.1 30.25 4.41 8.75 44.85 5.35 14.82 48.94 6.2 15.15 51.55 7.12 15.32 61.5 8.87 18.18 100.44 9.8 35.19 111.42 10.65 40.40 Estimate the multiple linear regression equation.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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