What math level teaches turning data points into equations?

In summary: They're commonly used for curve fitting in graphics applications. In summary, the process of fitting data points to equations is called mathematical modeling or curve fitting. It is commonly taught in introductory algebra, intermediate algebra, and precalculus. However, more advanced techniques such as numerical integration and interpolation may be used for more complex graphs. Some recommended methods for fitting data points include cubic splines, Sine, Damped Sine, or Lorentzian series.
  • #1
willpower101
5
0
And what is the process called?

Say you have a bunch of data you've collected plotted on a graph, what level of math teaches you to convert this data into a formula that you can play with?

I'm in calc 2 right now and we just covered volumes. It's AWESOME! I'm not much of a higher level math person, but this has got me thinking about moving on. But I really don't know what's out there. We are working with such simple equations, but what if I didn't know the equations?

Say I plotted the dimensions of 1/2 beer bottle, lengthwise about the x-axis, and wanted to integrate it from 0 to whatever the height is. But the problem is I don't know what formula represents the shape of these dots. I mean I could estimate and do it in sections, but how do I get an equation that represents it perfectly?

Thanks a lot! Sorry if this is basic :)
 
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  • #2
willpower101 said:
And what is the process called?

Say you have a bunch of data you've collected plotted on a graph, what level of math teaches you to convert this data into a formula that you can play with?

I'm in calc 2 right now and we just covered volumes. It's AWESOME! I'm not much of a higher level math person, but this has got me thinking about moving on. But I really don't know what's out there. We are working with such simple equations, but what if I didn't know the equations?

Say I plotted the dimensions of 1/2 beer bottle, lengthwise about the x-axis, and wanted to integrate it from 0 to whatever the height is. But the problem is I don't know what formula represents the shape of these dots. I mean I could estimate and do it in sections, but how do I get an equation that represents it perfectly?

Thanks a lot! Sorry if this is basic :)

Why do you think that for any graph there must exist a simple formula that represents it?

What we CAN do is to approximate the graph by piecewise "simple" formulas and sew them together.

Because polynomials are so nice to work with, it is quite popular to approximate difficult curves by piecewise polynomials.
 
  • #3
Fitting data points to equations is called Mathematical Modeling; also curve fitting. You learn this as early as Introductory Algebra, and you can learn much more of it in Intermediate Algebra and PreCalculus.
 
  • #4
symbolipoint said:
Fitting data points to equations is called Mathematical Modeling; also curve fitting. You learn this as early as Introductory Algebra, and you can learn much more of it in Intermediate Algebra and PreCalculus.

I think more likely that it is taught more in statistics (around second year of university) and numerical analysis (second or third year of university. The equation to fit data to a curve is quite simple if all you care about is a piece wise approximation. If you wish for derivatives to match up then it may be more complex.
 
  • #5
arildno said:
Why do you think that for any graph there must exist a simple formula that represents it?
I don't, nor did I say this. Currently most of the work we do is with simple graphs (x^2, x^3, lnx, e^x, 1/x, x^(1/2), x, stretched, shrunk, or shifted accordingly) so that we may focus on calculus. I'm interested in the process of deriving a formula for much more complex graphs. I've been reading the wiki on diffy q's and think this might be the answer, although it's a bit over my head.

actually, after some more searching, I think what I'm looking for is interpolation. That also lead me to info on extrapolation which looks fantastic.
 
  • #6
If your goal is just to find a mathematical formula to fit the points purely for the purpose of finding the integral then you would be much better off looking at numerical integration techniques like Simpsons rule or Runge-Kutter. These work directly on the data points (you could say they implicitly interpolate the data points).
 
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  • #7
willpower101 said:
I don't, nor did I say this. Currently most of the work we do is with simple graphs (x^2, x^3, lnx, e^x, 1/x, x^(1/2), x, stretched, shrunk, or shifted accordingly) so that we may focus on calculus. I'm interested in the process of deriving a formula for much more complex graphs. I've been reading the wiki on diffy q's and think this might be the answer, although it's a bit over my head.

actually, after some more searching, I think what I'm looking for is interpolation. That also lead me to info on extrapolation which looks fantastic.
You can continue with looking in on cubic splines. :smile:
 
  • #8
Basic polynomial (3rd degree and lower) curve-fitting I did in first year in applied maths, but it was very introductory stuff.
 
  • #9
willpower101 said:
actually, after some more searching, I think what I'm looking for is interpolation. That also lead me to info on extrapolation which looks fantastic.

The http://www.digitalCalculus.com/demo/curvfit.html" program has many data-fitting problems solved for ideas about math models. Plus, it does interpolation and/or extrapolation for ones solution. Source code is include if interested.

For periodic data use a Sine, Damped Sine, or Lorentzian series as a math model.

For non-monotonic, but not periodic, data I recommend the Lorentzian series.
 
Last edited by a moderator:
  • #10
I second arildno's suggestion of cubic splines (or, generally, Bézier splines).
 

1. What is the purpose of turning data points into equations?

Turning data points into equations allows us to represent and analyze patterns in the data and make predictions about future data points.

2. What math level is required to learn how to turn data points into equations?

The math level required to learn how to turn data points into equations is typically algebra or higher. This includes knowledge of variables, equations, and graphing.

3. What are the steps to turning data points into equations?

The steps typically involved in turning data points into equations include identifying the independent and dependent variables, plotting the data points on a graph, determining the type of relationship between the variables, and using the data to write an equation that represents the relationship.

4. Can data points be turned into equations in any type of data set?

Yes, data points can be turned into equations in any type of data set as long as there is a relationship between the variables being studied.

5. How can turning data points into equations be useful in real-world applications?

Turning data points into equations can be useful in real-world applications such as predicting future trends, analyzing patterns in data, and making informed decisions based on the relationships between variables.

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