How to resolve the algorithm Polynomial regression step by step in the Stata programming language
Published on 12 May 2024 09:40 PM
How to resolve the algorithm Polynomial regression step by step in the Stata programming language
Table of Contents
Problem Statement
Find an approximating polynomial of known degree for a given data. Example: For input data: The approximating polynomial is: Here, the polynomial's coefficients are (3, 2, 1). This task is intended as a subtask for Measure relative performance of sorting algorithms implementations.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Polynomial regression step by step in the Stata programming language
Source code in the stata programming language
. clear
. input x y
0 1
1 6
2 17
3 34
4 57
5 86
6 121
7 162
8 209
9 262
10 321
end
. regress y c.x##c.x
Source | SS df MS Number of obs = 11
-------------+---------------------------------- F(2, 8) = .
Model | 120362 2 60181 Prob > F = .
Residual | 0 8 0 R-squared = 1.0000
-------------+---------------------------------- Adj R-squared = 1.0000
Total | 120362 10 12036.2 Root MSE = 0
------------------------------------------------------------------------------
y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x | 2 . . . . .
|
c.x#c.x | 3 . . . . .
|
_cons | 1 . . . . .
------------------------------------------------------------------------------
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