Modelling Logistics, Polynomials using data.

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SUMMARY

This discussion focuses on modeling logistic and polynomial functions using provided data on tuberculosis infection rates in Côte d'Ivoire from 1996 to 2006. The user seeks step-by-step guidance on deriving these functions from the dataset without prior equations. Key techniques include linear regression and curve fitting to analyze population growth trends over the specified years.

PREREQUISITES
  • Understanding of logistic and polynomial functions
  • Familiarity with linear regression techniques
  • Basic knowledge of data analysis tools such as Excel or Python
  • Ability to interpret statistical outputs and graphs
NEXT STEPS
  • Learn how to perform linear regression using Python's SciPy library
  • Explore polynomial regression techniques in Excel
  • Study logistic growth models and their applications in epidemiology
  • Investigate data visualization tools to graph population trends
USEFUL FOR

Students in mathematics, data analysts, and anyone interested in modeling population dynamics or disease spread using statistical methods.

acer567
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Okay, I'm doing my yr 11 Mathematics assignemnt and I need help.

How do you find a Logistic or Polynomial function/equation using data? (in steps please!)
I could just give some example data as... an example, but I think I'll just throw 1 small section of my assignment, use the data or don't:

Côte d'Ivoire (TB infected)
Year 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
Population 5,899 6,592 7,338 8,199 9,081 10,160 11,446 12,826 14,444 16,689 20,293

I don't have any function or equation to work with, just this data!

I really need help with this, please get back to me ASAP I need sleep!

Cheers,
acer567
 
Last edited:
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