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ikihi
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Rules Violation - member warned about restarting a closed thread
The concentration is the Y axis, and the values are the x axis. What is the equation for finding a target value on a curve between set of points?
That looks a bit like a square root function.ikihi said:The concentration is the Y axis, and the values are the x axis. What is the equation for finding a target value on a curve between set of points?
I have not read other responses yet and have not picked at this one yet, but the curve drawn appears like part of a circle. Can you work that way with your example?ikihi said:The concentration is the Y axis, and the values are the x axis. What is the equation for finding a target value on a curve between set of points?
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Concentration suggests chemistry, which suggests adding exponential decay to the list of possible functions.Orodruin said:There is way too little information in the OP to make anything but guesswork.
Did you also note the scales of the x and y axes? My point is not that it is a good mystery, my point is that it the mystery is not well defined, making any speculation meaningless.Baluncore said:Concentration suggests chemistry, which suggests adding exponential decay to the list of possible functions.
Like a good mystery, we need a couple of more data points, and units for the axes.
That's right. And we have not been informed better since @ikihi posted.Orodruin said:Did you also note the scales of the x and y axes? My point is not that it is a good mystery, my point is that it the mystery is not well defined, making any speculation meaningless.
To find a math equation to fit a curve, you will need to gather data points from the curve and plot them on a graph. Then, you can use mathematical methods such as regression analysis or curve fitting to find the best equation that fits the curve.
The best method for finding a math equation to fit a curve depends on the type of curve you are working with and the data points you have. Some common methods include linear regression, polynomial regression, and exponential curve fitting. It is important to choose a method that best fits your data and the type of relationship you are trying to model.
Yes, there are many software and tools available that can help you find a math equation to fit a curve. Some popular options include Microsoft Excel, MATLAB, and Python libraries such as NumPy and SciPy. These tools use algorithms to find the best equation that fits your data points.
The accuracy of the math equation that fits a curve depends on the quality and quantity of data points used to find the equation. Generally, the more data points you have, the more accurate the equation will be. It is also important to choose the right method and ensure that your data is representative of the relationship you are trying to model.
Yes, once you have found a math equation that fits a curve, you can use it to make predictions for future data points. However, it is important to note that the accuracy of these predictions will depend on the accuracy of the equation and the assumptions made during the curve fitting process. It is always recommended to validate your predictions with actual data points.