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



Show Code

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" : [
          [-1,-1],
          [0,3],
          [1,2.5],
          [2,5],
          [3,4],
          [5,2],
          [7,5],
          [9,4]
        ],
        "smps" : ["X","Y"],
        "vars" : ["S1","S2","S3","S4","S5","S6","S7","S8"]
     }
  }
  
  
  <-- Create the configuration for the graph -->
  var config = {
     "decorations":{
        "polynomial":[
           {
              "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>