Editing 2048: Curve-Fitting
Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.
The edit can be undone.
Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 32: | Line 32: | ||
{{w|Polynomial regression|Quadratic fit}} (i.e. fitting a parabola through the data) is the lowest grade polynomial that can be used to fit data through a curved line; if the data exhibits clearly "curved" behavior (or if the experimenter feels that its growth should be more than linear), a parabola is often the first, easiest, stab at fitting the data. | {{w|Polynomial regression|Quadratic fit}} (i.e. fitting a parabola through the data) is the lowest grade polynomial that can be used to fit data through a curved line; if the data exhibits clearly "curved" behavior (or if the experimenter feels that its growth should be more than linear), a parabola is often the first, easiest, stab at fitting the data. | ||
− | The comment below the graph ''"I wanted a curved line, so I made one with math."'' suggests that a quadratic regression is used when straight lines no longer satisfy the researcher, but | + | The comment below the graph ''"I wanted a curved line, so I made one with math."'' suggests that a quadratic regression is used when straight lines no longer satisfy the researcher, but he still wants to use simple math expression. Quadratic correlations like this are mathematically valid and one of the simplest kind of curve in math, but this curve doesn't appear to satisfy the data any better than does simple, linear regression. |
===Logarithmic=== | ===Logarithmic=== |