对比和协方差 - CLR通过C#

using System;
using System.Collections.Generic;
using System.Linq;

class Program
{
    static void Main(string[] args)
    {
        List<double> x = new List<double> { 1, 2, 3, 4, 5 };
        List<double> y = new List<double> { 2, 4, 6, 8, 10 };

        double covariance = CalculateCovariance(x, y);
        double correlation = CalculateCorrelation(x, y);

        Console.WriteLine("Covariance: " + covariance);
        Console.WriteLine("Correlation: " + correlation);
    }

    static double CalculateCovariance(List<double> x, List<double> y)
    {
        double meanX = x.Average();
        double meanY = y.Average();

        double sum = 0;
        for (int i = 0; i < x.Count; i++)
        {
            sum += (x[i] - meanX) * (y[i] - meanY);
        }

        return sum / (x.Count - 1);
    }

    static double CalculateCorrelation(List<double> x, List<double> y)
    {
        double covariance = CalculateCovariance(x, y);
        double stdDevX = Math.Sqrt(x.Sum(v => Math.Pow(v - x.Average(), 2)) / (x.Count - 1));
        double stdDevY = Math.Sqrt(y.Sum(v => Math.Pow(v - y.Average(), 2)) / (y.Count - 1));

        return covariance / (stdDevX * stdDevY);
    }
}