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; }
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