Regresi linear
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# include <iostream>
#include <vector>
using namespace std;
// Fungsi untuk menghitung rata-rata dari sebuah vektor
double mean(const vector<double>& vec) {
double sum = 0.0;
for(double val : vec) {
sum += val;
}
return sum / vec.size();
}
// Fungsi untuk menghitung kovarians antara dua vektor
double covariance(const vector<double>& x, const vector<double>& y) {
double x_mean = mean(x);
double y_mean = mean(y);
double covar = 0.0;
for(size_t i = 0; i < x.size(); ++i) {
covar += (x[i] - x_mean) * (y[i] - y_mean);
}
return covar / x.size();
}
// Fungsi untuk menghitung variansi dari sebuah vektor
double variance(const vector<double>& vec) {
double vec_mean = mean(vec);
double var = 0.0;
for(double val : vec) {
var += (val - vec_mean) * (val - vec_mean);
}
return var / vec.size();
}
int main() {
// Contoh data
vector<double> X = {1, 2, 3, 4, 5};
vector<double> y = {1.2, 2.3, 3.1, 4.5, 5.2};
// Hitung koefisien regresi linear
double b1 = covariance(X, y) / variance(X); // Koefisien slope
double b0 = mean(y) - b1 * mean(X); // Koefisien intercept
// Tampilkan hasil
cout << "Koefisien slope (b1): " << b1 << endl;
cout << "Koefisien intercept (b0): " << b0 << endl;
return 0;
}
Cpp
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