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.


Example Color Themes

Example Fonts

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Show Code

Tools

<head>
  <!-- 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/dist/canvasXpress.min.js"></script>
</head>

<body>

  <!-- 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" : [
            [17.6,159.9],
            [26,206.9],
            [31.9,236.8],
            [38.9,269.9],
            [45.8,300.6],
            [51.2,323.6],
            [58.1,351.7],
            [64.7,377.6],
            [66.7,384.1],
            [80.8,437.2],
            [82.9,444.7]
          ],
          "smps" : ["Diameter","Length"],
          "vars" : ["S1","S2","S3","S4","S5","S6","S7","S8","S9","S10","S11"]
       }
    }
    
    
    // Create the configuration for the graph
    var config = {
       "decorations":{
          "power":[
             {
                "color":"red"
             }
          ]
       },
       "graphType":"Scatter2D",
       "showDecorations":true,
       "showLegend":false,
       "theme":"CanvasXpress"
    }
    

    // Call the CanvasXpress function to create the graph
    var cX = new CanvasXpress("canvasId", data, config);


  </script>

</body>