Nonlinear Regression Analysis for Biological Experiment

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SUMMARY

The discussion centers on the application of nonlinear regression analysis to evaluate the effect of trypsin concentration on the rate of casein hydrolysis, utilizing Graphpad Prism for data analysis. The user has successfully obtained parameters such as sy.x and degrees of freedom but seeks guidance on assessing the reliability of results and the impact of enzyme concentration on reaction rates. Suggestions include using the Michaelis-Menten equation for a more appropriate fit instead of a third-degree polynomial regression.

PREREQUISITES
  • Understanding of nonlinear regression analysis
  • Familiarity with Graphpad Prism software
  • Knowledge of enzyme kinetics, specifically the Michaelis-Menten equation
  • Basic statistical concepts, including degrees of freedom and sy.x
NEXT STEPS
  • Learn how to implement the Michaelis-Menten equation for enzyme kinetics
  • Explore advanced features in Graphpad Prism for nonlinear regression analysis
  • Study the interpretation of statistical parameters like sy.x in regression analysis
  • Investigate alternative methods for assessing the reliability of nonlinear regression results
USEFUL FOR

Biologists, biochemists, and researchers conducting experiments involving enzyme kinetics and nonlinear regression analysis, particularly those using Graphpad Prism for data evaluation.

garytse86
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Hello there. I have just finished a biological experiment on "effect of trypsin concentration on rate of casein hydrolysis"
I have already obtained a graph, and I used a program called "Graphpad Prism" to analyse the data usin nonlinear regression (3rd degree polynomial). I have got all the parameters like sy.x, degrees of freedom... But how do I use these parameters to analyse whether my results are reliable, and by varying enzyme concentration results in an increase in rate?

I have also considered Spearman's rank coefficient but this is only for linear relationships. What else can I do to determine whether my results show regression?

Thank you very much.
 
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can someone help?
 
Show us the data

You sound like your in AP Stats still... but really the data should be able to be analyzied with something as simple as a TI-83 + with little problem... If perhaps you showed the data I could further explain how well your data fits your regression line predicted.
 
hello here is the data:

Concentration (%) Mean time (s) Mean rate (s-1) Percentage mean rate (%)
0 0 0 0
0.1 328 0.00304878 27.43902439
0.2 214 0.004672897 42.05607477
0.3 128 0.0078125 70.3125
0.4 130 0.007692308 69.23076923
0.5 98 0.010204082 91.83673469
0.6 98 0.010204082 91.83673469
0.7 100 0.01 90
0.8 96 0.010416667 93.75
0.9 92 0.010869565 97.82608696
1.0 90 0.011111111 100
 
why you fit the data with a 3 degree

why not u fit your data with Michaelis-menten equation?
 

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