public void TestLinearRegesion2D1()
{
double[] array_x = new double[] { 22.5867, 32.1380, 35.2100, 45.2020, 56.7907, 66.3023, 72.1531, 77.0046, 82.9991, 90.8921, 100.2835, 107.4833, 112.2747, 117.6054, 124.8846, 134.3533, 146.5220, 157.8951, 165.8712, 179.8755, 194.8358, 203.1848, 221.6798, 240.6766, 240.0721, 240.9096, 249.5503, 254.8084, 259.7760, 343.4806, 434.5163, 308.3983, 368.7436 };
double[] array_y = new double[] { 1.5400, 2.2532, 2.7141, 3.6176, 4.6203, 5.6477, 6.7507, 8.2355, 10.3604, 13.2713, 16.9068, 20.5094, 23.7627, 27.1097, 30.8831, 35.2275, 40.3621, 45.3761, 49.4898, 60.0970, 68.1982, 74.0544, 83.7352, 93.7495, 96.2610, 99.4325, 105.8514, 110.8796, 115.8668, 158.9793, 207.6487, 154.0527, 193.5244 };
double slope = 0;
double intercept = 0;
ToolsMathLinearRegression.LinearRegesion2D(array_x, array_y, out slope, out intercept);
Assert.AreEqual(0.5508, slope, 0.001);
Assert.AreEqual(-31.8814, intercept, 0.001);
}
public void TestLinearRegesion2D0()
{
double[] array_x = new double[] { 1, 2, 3, 4 };
double[] array_y = new double[] { 1, 2, 3, 4 };
double slope = 0;
double intercept = 0;
ToolsMathLinearRegression.LinearRegesion2D(array_x, array_y, out slope, out intercept);
Assert.AreEqual(1, slope);
Assert.AreEqual(0, intercept);
array_x = new double[] { 4, 2, 1, 8 };
array_y = new double[] { 4, 2, 1, 8 };
ToolsMathLinearRegression.LinearRegesion2D(array_x, array_y, out slope, out intercept);
Assert.AreEqual(1, slope);
Assert.AreEqual(0, intercept);
}
