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The article "Drying of Pulps in Sprouted Bed: Effect of Composition on Dryer Performance" (M. Medeiros, S. Rocha, et al., Drying Technology, 2002:865-881) presents measurements of pH, viscosity (in kg/m - s), density (in g/cm), and BRIX (in percent). The following MINITAB output presents the results of fitting the model pH = 6, +6, Viscosity + B, Density + ß, BRIX +€ The regression equation is pH - -1.79 + 0.000266 Viscosity + 9.82 Density - 0.300 BRIX Predictor Coef SE Coef Constant -1.7914 6.2339 -0.29 0.778 Viscosity 0.00026626 0.00011517 2.31 0.034 Density 9.8184 5.7173 1.72 0.105 BRIX -0.29982 0.099039 -3.03 0.008 S - 0.379578 R-Sq - 50.0% R-Sq(adj) - 40.6% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 3.0875 0.1351 (2.8010, 3.3740) (2.2333, 3.9416) (3.4207, 4.0496) (2.3255, 3.3896) 2 3.7351 0.1483 (2.8712, 4.5990) з 2.8576 0.2510 (1.8929, 3.8222) Values of Predictors for New Observations New Obs Viscosity Density BRIX 1000 1.05 19.0 1200 1.08 18.0 2000 1.03 20.0 Predict the pH for a pulp with a viscosity of 1500 kg/m - s, a density of 1.04 g/cm?, and a BRIX of 17.5%. a. If two pulps differ in density by 0.01 g/cm², by how much would you expect them to differ in pH, other things being equal? ъ. The constant term Bo is estimated to be negative. But pulp pH must always be positive. Is something wrong? Explain. Find a 95% confidence interval for the mean pH of pulps with viscosity 1200 kg/m - s, density 1.08 g/cm³,and BRIX 18.0%. Find a 95% prediction interval for the pH of a pulp with viscosity 1000 kg/m - s, density 1.05 g/cm?, and BRIX 19.0%. f. Pulp A has viscosity 2000, density 1.03, and BRIX 20.0. Pulp B has viscosity 1000, density 1.05, and BRIX 19.0. Which pulp will have its pH predicted with greater precision? Explain. C. d. e.

The article "Drying of Pulps in Sprouted Bed: Effect of Composition on Dryer Performance" (M. Medeiros, S. Rocha, et al., Drying Technology, 2002:865-881) presents measurements of pH, viscosity (in kg/m - s), density (in g/cm), and BRIX (in percent). The following MINITAB output presents the results of fitting the model pH = 6, +6, Viscosity + B, Density + ß, BRIX +€ The regression equation is pH - -1.79 + 0.000266 Viscosity + 9.82 Density - 0.300 BRIX Predictor Coef SE Coef Constant -1.7914 6.2339 -0.29 0.778 Viscosity 0.00026626 0.00011517 2.31 0.034 Density 9.8184 5.7173 1.72 0.105 BRIX -0.29982 0.099039 -3.03 0.008 S - 0.379578 R-Sq - 50.0% R-Sq(adj) - 40.6% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 3.0875 0.1351 (2.8010, 3.3740) (2.2333, 3.9416) (3.4207, 4.0496) (2.3255, 3.3896) 2 3.7351 0.1483 (2.8712, 4.5990) з 2.8576 0.2510 (1.8929, 3.8222) Values of Predictors for New Observations New Obs Viscosity Density BRIX 1000 1.05 19.0 1200 1.08 18.0 2000 1.03 20.0 Predict the pH for a pulp with a viscosity of 1500 kg/m - s, a density of 1.04 g/cm?, and a BRIX of 17.5%. a. If two pulps differ in density by 0.01 g/cm², by how much would you expect them to differ in pH, other things being equal? ъ. The constant term Bo is estimated to be negative. But pulp pH must always be positive. Is something wrong? Explain. Find a 95% confidence interval for the mean pH of pulps with viscosity 1200 kg/m - s, density 1.08 g/cm³,and BRIX 18.0%. Find a 95% prediction interval for the pH of a pulp with viscosity 1000 kg/m - s, density 1.05 g/cm?, and BRIX 19.0%. f. Pulp A has viscosity 2000, density 1.03, and BRIX 20.0. Pulp B has viscosity 1000, density 1.05, and BRIX 19.0. Which pulp will have its pH predicted with greater precision? Explain. C. d. e.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The article "Drying of Pulps in Sprouted Bed: Effect of Composition on Dryer Performance" (M. Medeiros, S. Rocha, et al., Drying Technology, 2002:865-881) presents measurements of pH, viscosity (in kg/m - s), density (in g/cm), and BRIX (in percent). The following MINITAB output presents the results of fitting the model pH = 6, +6, Viscosity + B, Density + ß, BRIX +€ The regression equation is pH - -1.79 + 0.000266 Viscosity + 9.82 Density - 0.300 BRIX Predictor Coef SE Coef Constant -1.7914 6.2339 -0.29 0.778 Viscosity 0.00026626 0.00011517 2.31 0.034 Density 9.8184 5.7173 1.72 0.105 BRIX -0.29982 0.099039 -3.03 0.008 S - 0.379578 R-Sq - 50.0% R-Sq(adj) - 40.6% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 3.0875 0.1351 (2.8010, 3.3740) (2.2333, 3.9416) (3.4207, 4.0496) (2.3255, 3.3896) 2 3.7351 0.1483 (2.8712, 4.5990) з 2.8576 0.2510 (1.8929, 3.8222) Values of Predictors for New Observations New Obs Viscosity Density BRIX 1000 1.05 19.0 1200 1.08 18.0 2000 1.03 20.0 Predict the pH for a pulp with a viscosity of 1500 kg/m - s, a density of 1.04 g/cm?, and a BRIX of 17.5%. a. If two pulps differ in density by 0.01 g/cm², by how much would you expect them to differ in pH, other things being equal? ъ. The constant term Bo is estimated to be negative. But pulp pH must always be positive. Is something wrong? Explain. Find a 95% confidence interval for the mean pH of pulps with viscosity 1200 kg/m - s, density 1.08 g/cm³,and BRIX 18.0%. Find a 95% prediction interval for the pH of a pulp with viscosity 1000 kg/m - s, density 1.05 g/cm?, and BRIX 19.0%. f. Pulp A has viscosity 2000, density 1.03, and BRIX 20.0. Pulp B has viscosity 1000, density 1.05, and BRIX 19.0. Which pulp will have its pH predicted with greater precision? Explain. C. d. e.
Transcribed Image Text:The article "Drying of Pulps in Sprouted Bed: Effect of Composition on Dryer Performance" (M. Medeiros, S. Rocha, et al., Drying Technology, 2002:865-881) presents measurements of pH, viscosity (in kg/m - s), density (in g/cm), and BRIX (in percent). The following MINITAB output presents the results of fitting the model pH = 6, +6, Viscosity + B, Density + ß, BRIX +€ The regression equation is pH - -1.79 + 0.000266 Viscosity + 9.82 Density - 0.300 BRIX Predictor Coef SE Coef Constant -1.7914 6.2339 -0.29 0.778 Viscosity 0.00026626 0.00011517 2.31 0.034 Density 9.8184 5.7173 1.72 0.105 BRIX -0.29982 0.099039 -3.03 0.008 S - 0.379578 R-Sq - 50.0% R-Sq(adj) - 40.6% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 3.0875 0.1351 (2.8010, 3.3740) (2.2333, 3.9416) (3.4207, 4.0496) (2.3255, 3.3896) 2 3.7351 0.1483 (2.8712, 4.5990) з 2.8576 0.2510 (1.8929, 3.8222) Values of Predictors for New Observations New Obs Viscosity Density BRIX 1000 1.05 19.0 1200 1.08 18.0 2000 1.03 20.0 Predict the pH for a pulp with a viscosity of 1500 kg/m - s, a density of 1.04 g/cm?, and a BRIX of 17.5%. a. If two pulps differ in density by 0.01 g/cm², by how much would you expect them to differ in pH, other things being equal? ъ. The constant term Bo is estimated to be negative. But pulp pH must always be positive. Is something wrong? Explain. Find a 95% confidence interval for the mean pH of pulps with viscosity 1200 kg/m - s, density 1.08 g/cm³,and BRIX 18.0%. Find a 95% prediction interval for the pH of a pulp with viscosity 1000 kg/m - s, density 1.05 g/cm?, and BRIX 19.0%. f. Pulp A has viscosity 2000, density 1.03, and BRIX 20.0. Pulp B has viscosity 1000, density 1.05, and BRIX 19.0. Which pulp will have its pH predicted with greater precision? Explain. C. d. e.
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