c# - If Best Fit Straight Line the best method for prediction -


i need make prediction next point, based on given set of point samples on 2-d coordinate system.

i using best-fit straight line method such prediction.

please let me know if there method better best-fit straight line?

my code below:

public class lineequation {     public double m; //slope     public double c;  //constant  in y=mx+c } public class point {     public double x;     public double y; }  public class bestfitline {     public point[] points = new point[7];      public void inputpoints(point[] points)     {          (int = 0; < points.length; i++)         {             points[i] = new point();         }          points[0].x = 12;         points[0].y = 13;          points[1].x = 22;         points[1].y = 23;           points[2].x = 32;         points[2].y = 33;           points[3].x = 42;         points[0].y = 23;           points[4].x = 52;         points[4].y = 33;           points[5].x = 62;         points[5].y = 63;          points[6].x = 72;         points[6].y = 63;        }      public lineequation calculatebestfitline(point[] points)     {         double constant = 0;         double slope=0;         (int = 0; < points.length - 1; i++)         {             (int j = + 1; j < points.length; j++)             {                  double m = (points[j].y - points[i].y) / (points[j].x - points[i].x);                 double c = points[j].y - (m * points[j].x);                 constant += c;                 slope += m;             }         }         int linecount =((points.length-1)*points.length)/2;          slope = slope / linecount;         constant = constant / linecount;         lineequation eq = new lineequation();         eq.c = constant;         eq.m = slope;         return eq;      }} 

if x coordinate composed of dates, can rely on generalized additive models following components : - trend - yearly profile - weekly profile - daily profile

gam models available in r, advice use jri in order interface java code r.

cheers


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