Finding the equation to a non-linear set of points

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Homework Help Overview

The problem involves determining the equation that fits a non-linear set of points: (12, 270), (14, 300), (16, 330), and (18, 380). The original poster notes the challenge of not being able to use a linear equation format due to the nature of the data.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster expresses uncertainty about how to approach the problem given the non-linear nature of the points. Some participants suggest exploring linear regression analysis, while others propose the possibility of using piecewise functions or polynomial fitting.

Discussion Status

Participants are exploring various methods to address the problem, including linear regression and polynomial equations. There is no explicit consensus on the best approach, but several productive directions have been suggested.

Contextual Notes

The original poster is grappling with the unexpected jump in values between points, which raises questions about the underlying pattern and the appropriate mathematical representation. There is also mention of needing to solve for coefficients in a polynomial equation based on the provided points.

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Homework Statement



Determine the equation of the following points:

(12. 270)
(14, 300)
(16, 330)
(18. 380)

Homework Equations



The Attempt at a Solution



I realized right away that this is not a linear set of points, so it wouldn't work out to just find the slope between two points and to find the intercept. I know the answer won't be in the format y = mx+b, but I'm not really sure how to solve this.

I guess what's bothering me is the fact that the equation jumps 20 after a seemingly normal pattern. Any tips as to what direction I should take this problem next?
 
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Do you know how to do linear regression analysis? Because that sounds like what you want to do.
 
No, I don't know how to do that - I'll look it up though, thanks =)
 
This is either a linear fit or a piecewise function of two lines.
 
A "linear regression" line or "least squares line" is a line that does NOT go through all the points but comes "closest" in the sense of the average distance from each point to the line being smallest.

You could, as zachach suggests, use a piecewise linear function- although you might need 3, not two pieces- a line from (12. 270) to (14, 300), a line from (14, 300) to (16, 330), and a line from (16, 330) to (18. 380).

It is also true that there exists a unique n-1 or less degree polynomial through any given n points. Here you have four points so there exist a unique cubic (or less) polynomial whose graph passes through those four points.

Write the polynomial as [math]y= ax^3+ bx+ c+ d[/math] and put in the given x and y values to get four linear equations to solve for a, b, c, and d.
 

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