html, body, #container {

    width: 100%;

    height: 100%;

    margin: 0;

    padding: 0;

}

//experimental data

var rawData = [

  [0.1, 2.1],

  [1, 2.4],

  [2, 2.6],

  [4, 2.8],

  [5, 3]

];

​

//getting the regression object

//the type of regression depends on the experimental data

var result = regression('linear', rawData);

​

//get coefficients from the calculated formula

var coeff = result.equation;

​

anychart.onDocumentReady(function () {

​

  var data_1 = rawData;

  var data_2 = setTheoryData(rawData);

​

  chart = anychart.scatter();

​

  chart.title("The calculated formula: " + result.string + "\nThe coefficient of determination (R2): " + result.r2.toPrecision(2));

​

  chart.legend(true);

​

  // creating the first series (marker) and setting the experimental data

  var series1 = chart.marker(data_1);

  series1.name("Experimental data");

​

  // creating the second series (line) and setting the theoretical data

  var series2 = chart.line(data_2);

  series2.name("Theoretically calculated data");

  series2.markers(true);

​

  chart.container("container");

  chart.draw();

});

​

//input X and calculate Y using the formula found

//this works with all types of regression

function formula(coeff, x) {

  var result = null;

  for (var i = 0, j = coeff.length - 1; i < coeff.length; i++, j--) {

    result += coeff[i] * Math.pow(x, j);

  }

  return result;

}

​

//setting theoretical data array of [X][Y] using experimental X coordinates

//this works with all types of regression

function setTheoryData(rawData) {

  var theoryData = [];

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

    theoryData[i] = [rawData[i][0], formula(coeff, rawData[i][0])];

  }

  return theoryData;

}