C C++ CODE : least square fitting regression

Working C C++  Source code program for least square fitting regression

/*************** least square fitting ******************/
#include<iostream.h>
#include<conio.h>
#include<math.h>
int main()
{
    int n,i,j;
    float a,a0,a1,x[10],f[10],sumx=0,sumy=0,sumxy=0,sumx2=0;
    clrscr();
    cout<<"Enter no of sample points ? ";cin>>n;
    cout<<"Enter all sample points: "<<endl;
    for(i=0;i<n;i++)
    {
        cin>>x[i]>>f[i]; // read both (x,f(x))
        sumx+=x[i];
        sumy+=f[i];
        sumxy+=x[i]*f[i];
        sumx2+=x[i]*x[i];
    }
    cout<<"your sample x ? ";
    cin>>a;
    a0=(sumy*sumx2-sumx*sumxy)/(n*sumx2-sumx*sumx);
    a1=(n*sumxy-sumx*sumy)/(n*sumx2-sumx*sumx);
    cout<<"The coefficients are : "<<endl<<a0<<endl<<a1;
    cout<<endl<<"f("<<a<<"): "<<(a0+a1*a);
    getch();
    return 0;
}