simple fit trace / linear regression example provided

El issue proporciona un ejemplo de JavaScript de regresión lineal para un gráfico de dispersión de Plotly, pero no indica ningún archivo de destino ni punto de entrada del ejemplo. Empieza localizando la colección de ejemplos de graphing-library-docs y revisando cómo están organizados los ejemplos de JavaScript. Se considera completado cuando el ejemplo se haya añadido en el lugar adecuado y muestre los puntos de dispersión, la línea ajustada y la etiqueta R² que aparecen en el issue.

I just want to provide my simple code for plotting a linear fit into a scatter.
A feature that was requested for some time in plotly JS (https://github.com/plotly/plotly.js/issues/4921), maybe you can just add this code into your example collection, so people will be able to find this solution and modified it to their needs:

function linearRegression(x,y){
        var lr = {};
        var n = y.length;
        var sum_x = 0;
        var sum_y = 0;
        var sum_xy = 0;
        var sum_xx = 0;
        var sum_yy = 0;

        for (var i = 0; i < y.length; i++) {

            sum_x += x[i];
            sum_y += y[i];
            sum_xy += (x[i]*y[i]);
            sum_xx += (x[i]*x[i]);
            sum_yy += (y[i]*y[i]);
        } 

        lr['sl'] = (n * sum_xy - sum_x * sum_y) / (n*sum_xx - sum_x * sum_x);
        lr['off'] = (sum_y - lr.sl * sum_x)/n;
        lr['r2'] = Math.pow((n*sum_xy - sum_x*sum_y)/Math.sqrt((n*sum_xx-sum_x*sum_x)*(n*sum_yy-sum_y*sum_y)),2);

        return lr;
}

var trace = {
      x: [9.87, 9.69, 9.14, 9.71, 9.19, 9.5, 9.85, 9.52, 9.34, 9.42, 9.71, 9.53, 9.13, 9.05, 9.3, 9.81, 9.32, 9.8, 9.5, 10, 9.47, 9.19, 9, 9.94, 9.4, 9.18, 9.06, 9.39, 9.59, 9.26, 9.15],
      y: [9.93, 9.85, 9.34, 9.69, 9.13, 9.4, 9.75, 9.5, 9.23, 9.45, 9.95, 9.68, 9.17, 9.2, 9.1, 10.01, 9.17, 9.99, 9.29, 10.04, 9.56, 9.2, 9.06, 9.77, 9.61, 9.09, 9.2, 9.18, 9.72, 9.1, 9.27],
      name: "Scatter",
      "marker": {"size": 5},
      "mode": "markers",
    "type": "scatter" };  
var lr = linearRegression(trace.x, trace.y);
var fit_from = Math.min(...trace.x)
var fit_to = Math.max(...trace.x)
var fit = {
  x: [fit_from, fit_to],
  y: [fit_from*lr.sl+lr.off, fit_to*lr.sl+lr.off],
  mode: 'lines',
  type: 'scatter',
  name: "R2=".concat((Math.round(lr.r2 * 10000) / 10000).toString())
};

var data = [ trace, fit ];
Plotly.newPlot('myDiv', data);