public void Test_LinearRegression_RandomXs()
{
int pointCount = 50;
double actualSlope = 3;
double actualOffset = 200;
(double[] xs, double[] ys) = GetNoisyLinearData_RandomlySpaced(pointCount, actualSlope, actualOffset);
// fit the random data with the linear regression model
var model = new ScottPlot.Statistics.LinearRegressionLine(xs, ys);
// plot to visually assess goodness of fit
var plt = new ScottPlot.Plot(450, 300);
plt.Title($"Y = {model.slope:0.0000}x + {model.offset:0.0}\nR² = {model.rSquared:0.0000}");
plt.AddScatterPoints(xs, ys);
// ADD THIS BACK IN!
//plt.PlotLine(model.slope, model.offset, (xs.Min(), xs.Max()), lineWidth: 2, label: "model", lineStyle: ScottPlot.LineStyle.Dash);
//plt.PlotLine(actualSlope, actualOffset, (xs.Min(), xs.Max()), lineWidth: 2, label: "actual");
plt.Legend();
TestTools.SaveFig(plt);
// ensure the fit is good
Assert.AreEqual(actualSlope, model.slope, .5);
Assert.AreEqual(actualOffset, model.offset, 10);
}
