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Help With Logger Pro Curve Fitting Software for Math Exploration!


ibtoohard

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Hi for my math exploration I'm hoping to find a function that accurately represents the growing population of China. So far I've fitted linear and an exponential curve onto my data and gotten the equation. However I believe that a logistic curve would be the ideal equation but I'm currently using Logger Pro and I have no idea how to fit a logistic curve onto my data. Any help would be very appreciated as this exploration is due very soon!

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Hopefully you can see this as a chart but here are my data points

x y

1700 210715000
1710 219332000
1720 228301000
1730 237637000
1740 247355000
1750 179538500
1760 196838000
1770 213613200
1780 277554400
1790 301487100
1800 295273300
1810 345717200
1820 353377700
1830 395784700
1840 412814800
1850 429931000
1860 377000000
1870 358000000
1880 358000000
1890 380000000
1900 400000000
1910 423000000
1920 472000000
1930 489000000
1940 520843000
1950 556613000
1960 682024000
1970 825812000
1980 981200000
1990 1133682500
2000 1265830000
2010 1370536875
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That's an inverse exponent fit, yes! You'd actually be looking for an inverse logistic fit, as the graph begins concave down and goes concave up but this inverse exponential seems to fit very well. It would likely be possible to fit an inverse logistic to this, but it would take a lot of legwork on your part, more than seems reasonable so I would be inclined to stick with this.

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Sorry about all these questions I'll try to make this my last one but if I already have an exponential fit in my math IA should I also put an inverse exponent fit? Sorry about this I can't really tell the difference between the two :( Math isn't really my strongest subject

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  • 2 years later...

hey guys :) i am also working on my exploration for maths hl right now, and thank you Rahul, i am using your advise which is ver helpful, but i thought that isnt the logistics function like that: 

f(x)=(C/(1+A*exp(B*x)))+D 

Please correct me if i am wrong :) thank you :) 

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