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Using the given Minitab output, answer the questions that follow.

Using the given Minitab output, answer the questions that follow.

College Algebra
College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter4: Linear Functions
Section: Chapter Questions
Problem 8PT: Does Table 1 represent a linear function? If so, finda linear equation that models the data.
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19. Using the given Minitab output, answer the questions that follow. 

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). 19. Test the significance of the slope.
Transcribed Image Text: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). 19. Test the significance of the slope.
Regression Equation C1 = 11.7 + 0.0386 C2 Coefficients Term Coef SE Coef 97% CI T-Value P-Value VIF Constant 11.7 14.4 (-26.2, 49.5) 0.81 0.440 C2 0.0386 0.0157 (-0.0029, 0.0800) 2.45 0.040 1.00 Model Summary S R-sq R-sq(adj) PRESS R-sq(pred) AICC BIC 2.89815 42.86% 35.72% 102.435 12.90% 57.43 54.34 Analysis of Variance Source DF Seq SS Contribution Adj SS Adj MS F-Value P-Value Regression C2 1 50.41 42.86% 50.41 50.406 6.00 0.040 1 50.41 42.86% 50.41 50.406 6.00 0.040 Error 8 67.19 57.14% 67.19 8.399 Lack-of-Fit 7 54.69 46.51% 54.69 7.813 0.63 0.754 Pure Error 1 12.50 10.63% 12.50 12.500 Total 9. 117.60 100.00%
Transcribed Image Text:Regression Equation C1 = 11.7 + 0.0386 C2 Coefficients Term Coef SE Coef 97% CI T-Value P-Value VIF Constant 11.7 14.4 (-26.2, 49.5) 0.81 0.440 C2 0.0386 0.0157 (-0.0029, 0.0800) 2.45 0.040 1.00 Model Summary S R-sq R-sq(adj) PRESS R-sq(pred) AICC BIC 2.89815 42.86% 35.72% 102.435 12.90% 57.43 54.34 Analysis of Variance Source DF Seq SS Contribution Adj SS Adj MS F-Value P-Value Regression C2 1 50.41 42.86% 50.41 50.406 6.00 0.040 1 50.41 42.86% 50.41 50.406 6.00 0.040 Error 8 67.19 57.14% 67.19 8.399 Lack-of-Fit 7 54.69 46.51% 54.69 7.813 0.63 0.754 Pure Error 1 12.50 10.63% 12.50 12.500 Total 9. 117.60 100.00%
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