Linear regression 예제풀이 및 코딩소스

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Linear regression 예제풀이 및 코딩소스에 대한 보고서 자료입니다.

목차

Linear regression

본문내용

< " " << setprecision(5) << lz[i];
for(i=0;i {
sumx=sumx+lx[i];
sumy=sumy+ly[i];
sumz=sumz+lz[i];
sumx2=sumx2+lx[i]*lx[i];
sumy2=sumy2+ly[i]*ly[i];
sumxy=sumxy+lx[i]*ly[i];
sumxz=sumxz+lx[i]*lz[i];
sumyz=sumyz+ly[i]*lz[i];
}
cout << "\n" << "\n" << " ┌ n Σx1i Σx2i ┐ ┌ loga ┐ ┌ Σyi ┐";
cout << "\n" << " │ Σx1i Σx1i^2 Σx1ix2i │ │ b │=│Σx1iyi│";
cout << "\n" << " ┕ Σx2i Σx1ix2i Σx2i^2 ┘ ┕ c ┘ ┕Σx2iyi┘";
cout << "\n" << "\n" << " n = " << n << "\t" << " Σx1i = " << sumx;
cout << "\n" << " Σx2i = " << sumy << "\t" << "Σx1i^2 = " << sumx2;
cout << "\n" << " Σx2i^2 = " << sumy2 << "\t" << "Σyi = " << sumz;
cout << "\n" << " Σx1iyi = " << sumxz << "\t" << "Σx2iyi = " << sumyz;
//cout << "---------------------------------------------" << "\n";
//cout << "Iter"<< "\t" << " a" << "\t" << " b" << "\t" << " c" << "\n";
//cout << "---------------------------------------------"<<"\n" ;
int iter=0;// Gauss-seidel Method
double a,b,c,a0,b0,c0,ea;
b=0,c=0;
while (iter<=1000)
{
iter++;
a=(sumz-sumx*b-sumy*c)/n;
ea=fabs((a-a0)/a*100);
a0=a;
b=(sumxz-sumx*a0-sumxy*c)/sumx2;
b0=b;
c=(sumyz-sumy*a0-sumxy*b0)/sumy2;
c0=c;
if (ea<0.001)
{
//cout << " "<< iter << "\t" << a << "\t" << b << "\t" << c << "\n";
//cout << "---------------------------------------------"<<"\n";
cout << "\n" << "\n" << "To find a,b and c, using the Gauss-Seidel method ";
cout << "\n" << "a = " << pow(10,a) << "\t" << "b = " << b << "\t" << "c = " << c;
cout << "\n" << "Q = " << pow(10,a) << " * D^" << b << " * S^" << c;
cout << "\n" << "\n" << " At D = " << data1 << " and S = " << data2;
cout << "\n" << " Q = " << pow(10,a)*pow(data1,b)*pow(data2,c) << "\n";
return ;
}
else
{
//cout<<" "<< iter << "\t" << a << "\t" << b << "\t" << c << "\n";
//cout<<"---------------------------------------------"<<"\n";
}
}
}

키워드

Linear,   regression,   수치해석