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The following is a table displaying the dissolved oxygen concentration in water as a function of temperature (°C) and chloride concentration (g/L) Dissolved Oxygen (mg/L) for Temperature (C) and Concentration of Chloride (g/L) TC c=0 g/L c=10 g/L c=20 g/L 11.6 12.9 11.1 5 12.8 11.3 10.3 10 11.3 101 8.96 15 10.1 9.03 8.08 20 9.09 8.17 7.35 25 8.26 7.46 6.73 30 7.56 6.85 6.20 Using polynomial regression, identify a predictive equation for dissolved oxygen concentration as a function of temperature for the case where the chloride concentration is equal to zero. Employ a polynomial that is of sufficiently high order that the predictions match the number of significant digits displayed in the table. 1) Use assumed true model as o=a0+ a1*T+ a2*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction 2) Use assumed true model as o=a0+ a1*T+a2*T^2 + a3*T^3 + a4*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction. Comment on the two models.

The following is a table displaying the dissolved oxygen concentration in water as a function of temperature (°C) and chloride concentration (g/L) Dissolved Oxygen (mg/L) for Temperature (C) and Concentration of Chloride (g/L) TC c=0 g/L c=10 g/L c=20 g/L 11.6 12.9 11.1 5 12.8 11.3 10.3 10 11.3 101 8.96 15 10.1 9.03 8.08 20 9.09 8.17 7.35 25 8.26 7.46 6.73 30 7.56 6.85 6.20 Using polynomial regression, identify a predictive equation for dissolved oxygen concentration as a function of temperature for the case where the chloride concentration is equal to zero. Employ a polynomial that is of sufficiently high order that the predictions match the number of significant digits displayed in the table. 1) Use assumed true model as o=a0+ a1*T+ a2*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction 2) Use assumed true model as o=a0+ a1*T+a2*T^2 + a3*T^3 + a4*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction. Comment on the two models.

Elements Of Electromagnetics
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
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The following is a table displaying the dissolved oxygen concentration in water as a function of temperature (°C) and chloride concentration (g/L) Dissolved Oxygen (mg/L) for Temperature (C) and Concentration of Chloride (g/L) TC c=0 g/L c=10 g/L c=20 g/L 11.6 12.9 11.1 5 12.8 11.3 10.3 10 11.3 101 8.96 15 10.1 9.03 8.08 20 9.09 8.17 7.35 25 8.26 7.46 6.73 30 7.56 6.85 6.20 Using polynomial regression, identify a predictive equation for dissolved oxygen concentration as a function of temperature for the case where the chloride concentration is equal to zero. Employ a polynomial that is of sufficiently high order that the predictions match the number of significant digits displayed in the table. 1) Use assumed true model as o=a0+ a1*T+ a2*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction 2) Use assumed true model as o=a0+ a1*T+a2*T^2 + a3*T^3 + a4*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction. Comment on the two models.
Transcribed Image Text:The following is a table displaying the dissolved oxygen concentration in water as a function of temperature (°C) and chloride concentration (g/L) Dissolved Oxygen (mg/L) for Temperature (C) and Concentration of Chloride (g/L) TC c=0 g/L c=10 g/L c=20 g/L 11.6 12.9 11.1 5 12.8 11.3 10.3 10 11.3 101 8.96 15 10.1 9.03 8.08 20 9.09 8.17 7.35 25 8.26 7.46 6.73 30 7.56 6.85 6.20 Using polynomial regression, identify a predictive equation for dissolved oxygen concentration as a function of temperature for the case where the chloride concentration is equal to zero. Employ a polynomial that is of sufficiently high order that the predictions match the number of significant digits displayed in the table. 1) Use assumed true model as o=a0+ a1*T+ a2*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction 2) Use assumed true model as o=a0+ a1*T+a2*T^2 + a3*T^3 + a4*c Report your general linear regression effort, coefficients, S_T, S_R and graph of data versus prediction. Comment on the two models.
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