How to derive an equation from a graph

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The discussion focuses on deriving an equation to demonstrate the relationship between prey and predator populations over time. The user is confused about the correlation between the two graphs, noting that while predator numbers seem to increase with prey numbers, they are unsure of the exact relationship. Suggestions include using linear regression for the prey data and exponential regression for the predator data, while also considering the inclusion of a time lag and ratio in the formula. It is emphasized that there is a correlation, and the user is encouraged to include all data points in their analysis for a clearer picture. The conversation highlights the importance of refining the model to account for various factors affecting population dynamics.
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Homework Statement



Hello! I have two graphs which I need to find if there is relationship between them (all in one).

I have to create a formula/equation that can show and prove that there is this relationship between them.I am really confused at the moment since I do not know if there is any correlation, I have examined the two graphs and so far I don't think there is any correlation. The graph represents Prey and Predators number. X axis is time (weeks), Y axis is numbers. When the pre

y number starts to increase the predator number starts to increase as well.

Here are the numbers of Prey from week 15 to 25:

495, 550, 560, 620, 720, 690, 750, 740, 950, 800, 650

And here are the number of population for Predators from week 15 to week 25:

15, 20, 50, 80, 110, 190, 200, 250, 360, 380, 650,

Homework Equations



Can I also use LinReg (for Prey graph) and ExpReg (for Predator graph) on a GDC? (Ti-84+)

The Attempt at a Solution



I created a scatter plot which can be found to the attached documents so it can be easier for me to illustrate if there is any correlation.
Also it is clearly visible on the predator graph that it is Exponential however the prey graph is not.

About the formula I was thinking of something like P = a.e^Inb.t

Homework Statement


Homework Equations


The Attempt at a Solution

 

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Cryphisss said:

Homework Statement



Hello! I have two graphs which I need to find if there is relationship between them (all in one).

I have to create a formula/equation that can show and prove that there is this relationship between them.


I am really confused at the moment since I do not know if there is any correlation, I have examined the two graphs and so far I don't think there is any correlation.


The graph represents Pray and Predators number. X axis is time (weeks), Y axis is numbers. When the pray number starts to increase the predator number starts to increase as well.

Here are the numbers of Pray from week 15 to 25:

495, 550, 560, 620, 720, 690, 750, 740, 950, 800, 650

And here are the number of population for Predators from week 15 to week 25:

15, 20, 50, 80, 110, 190, 200, 250, 360, 380, 650,


Homework Equations



Can I also use LinReg (for Pray graph) and ExpReg (for Predator graph) on a GDC? (Ti-84+)

The Attempt at a Solution



I created a scatter plot which can be found to the attached documents so it can be easier for me to illustrate if there is any correlation.
Also it is clearly visible on the predator graph that it is Exponential however the pray graph is not.

About the formula I was thinking of something like P = a.e^Inb.t

Note: the first graph shows very clearly that the word is "prey", not "pray".
 
Cryphisss said:

I am really confused at the moment since I do not know if there is any correlation, I have examined the two graphs and so far I don't think there is any correlation.


There clearly is a correlation. The number of predators follows the number prey with some ratio, and with a time lag (and maybe some other correction factors).

Try out a formula that shows the ratio of prey to predators (it's a ratio >1), and include some time lag in the function. Then calculate your overall error versus the graph, and see if you can adjust the ratio and time lag parameters to give you a good correlation. Then for whatever errors you still have, see if you can figure out smaller correction factors to put into the equation. For example, the seasons of the year may be a factor in their populations as well...
 
berkeman said:
There clearly is a correlation. The number of predators follows the number prey with some ratio, and with a time lag (and maybe some other correction factors).

Try out a formula that shows the ratio of prey to predators (it's a ratio >1), and include some time lag in the function. Then calculate your overall error versus the graph, and see if you can adjust the ratio and time lag parameters to give you a good correlation. Then for whatever errors you still have, see if you can figure out smaller correction factors to put into the equation. For example, the seasons of the year may be a factor in their populations as well...

Thanks for the reply, I'll try that. If it doesn't work out I will come back for more help!
 
How come you only included weeks 15-25 on the scatter plot? You should include all the data on the scatter plot, and you will see a much better correlation.

Chet
 
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