Consider the results of an experiment to investigate the relationship between the amount of enzyme adsorbed and concentration. A. Write the estimated model. Compute and interpret the adequacy of the regression model. Estimated Model: ______________________________________________________ Model Adequacy: ____________ Interpretation: B. Is the quadratic regression term is significant at α=5%. Ho (symbols and words): ______________________________________________________________ p-value: _______________ Conclusion:
Consider the results of an experiment to investigate the relationship between the amount of enzyme adsorbed and concentration. A. Write the estimated model. Compute and interpret the adequacy of the regression model. Estimated Model: ______________________________________________________ Model Adequacy: ____________ Interpretation: B. Is the quadratic regression term is significant at α=5%. Ho (symbols and words): ______________________________________________________________ p-value: _______________ Conclusion:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
- Consider the results of an experiment to investigate the relationship between the amount of enzyme adsorbed and concentration.
A. Write the estimated model. Compute and interpret the adequacy of the regression model.
Estimated Model: ______________________________________________________
Model Adequacy: ____________
Interpretation:
B. Is the quadratic regression term is significant at α=5%.
Ho (symbols and words): ______________________________________________________________
p-value: _______________
Conclusion: _________________________________________________________________________
Transcribed Image Text:Analysis of Variance
F
Sum of Squares
F
Mean Square
Pr > F
Source
Value
0.021
Regression
0.8013
0.4006
6.96
2
Error
0.4027
0.0575
Corrected Total
1.2040
Transcribed Image Text:Parameter Estimates
D
Parameter
Standard
Pr > |t
Variable
t Value
F
Estimate
Error
Intercept
0.4430
0.5987
0.4834
1
0.74
Conc
0.1826
2.49
1
0.4553
0.0414
Conc_Square
-0.0376
1
0.0129
-2.93
0.0221
d
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