17. Using the given Minitab output, answer the questions that follow. Regression EquationC1 = 11.7 + 0.0386 C2CoefficientsTermCoef SE Coef97% CIT-Value P-Value VIFConstant11.714.4(-26.2, 49.5)0.810.440C20.03860.0157 (-0.0029, 0.0800)2.450.040 1.00Model SummarySR-sq R-sq(adj)PRESS R-sq(pred) AICCBIC2.89815 42.86%35.72% 102.43512.90% 57.43 54.34Analysis of VarianceSourceDF Seq SS Contribution Adj SS Adj MS F-Value P-ValueRegressionC2150.4142.86%50.4150.4066.000.040150.4142.86%50.4150.4066.000.040Error867.1957.14%67.198.399Lack-of-Fit754.6946.51%54.697.8130.630.754Pure Error112.5010.63%12.5012.500Total9.117.60100.00% An article in the Tappi Journal (March, 1986) presented data on green liquor Na2S concentration (in grams per liter) that is affected by paper machineproduction (in tons per day).17. What is the estimate of variance?

Note: Hi! Thank you for the question. As the variable names used in the Minitab output are not…

Answered: An article in the Tappi Journal (March,…

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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An article in the Tappi Journal (March, 1986) presented data on green liquor Na2s concentration (in grams per liter) that is affected by paper machine production (in tons per day). 17. What is the estimate of variance?