NonLinear-Fit Chart

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations.


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Tools

<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/canvasXpress.min.js"></script>


<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
  <canvas id="canvasId" width="600" height="600"</canvas>
</div>


<!-- Create a script to initialize the chart -->
<script>

  <!-- Create the data for the graph -->
  var data = {
     "y" : {
        "data" : [
          [0,2],
          [1,4],
          [2,7],
          [3,7],
          [4,19],
          [5,20],
          [6,43],
          [7,51],
          [8,74],
          [9,81],
          [10,75],
          [11,117],
          [12,100],
          [13,84],
          [14,90],
          [15,54],
          [16,43],
          [17,47],
          [18,34],
          [19,24],
          [20,11],
          [21,7],
          [22,4],
          [23,2]
        ],
        "smps" : ["X","Y"],
        "vars" : ["S1","S2","S3","S4","S5","S6","S7","S8","S9","S10","S11","S12","S13","S14","S15","S16","S17","S18","S19","S20","S21","S22","S23","S24"]
     }
  }
  
  
  <-- Create the configuration for the graph -->
  var config = {
     "graphType":"Scatter2D",
     "showDecorations":"true",
     "showLegend":"false",
     "theme":"CanvasXpress",
     "xAxis":[
        "X"
     ],
     "yAxis":[
        "Y"
     ]
  }
  

  <!-- Call the CanvasXpress function to create the graph -->
  var cX = new CanvasXpress("canvasId", data, config);


  
  <-- Functions after rendering graph -->
  cX.addNormalDistributionLine();
  
</script>