'What is the number of degrees needed for polynomial curve fitting?
Assume we have m data points.
What is the number of degrees needed for polynomial curve fitting if we wish to make the adjusted
R^2value to be 1? (Theoretically, it will be 1, but realistically it's nearly 1 due to round off errors).What is the reason for the chosen number?
8 points (2 0 0 3 8 5 3 3 ) example shown below, but you have to answer with m data points. If you use 8 data points your score will be reduced.
Solution 1:[1]
A polynomial of degree m-1 will exactly fit (R^2 = 1) m data points with different x values.
A m-1 degree polynomial has m degrees of freedom a_i:
y(x) = a_1 + a_2 x^1 + a_3 x^2 + ... + a_m x^(m-1)
The m degrees of freedom of a m-1 degree polynomial allow it to uniquely fit to m data points.
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | user213305 |

