NonLinear-Fit graphs are powerful tools for visualizing and analyzing data that does not follow a straight line. They are essential when relationships between variables are complex, revealing subtle patterns missed by linear methods. Applications span diverse fields, from scientific research to financial modeling. Understanding these graphs requires familiarity with curve fitting techniques and the various nonlinear functions used to model data. Choosing the appropriate model is crucial for accurate interpretation and prediction, impacting decision-making across many industries. Explore the nuances of nonlinear regression for deeper insights.
<html> <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" : [ [0,179.5], [5,168.7], [8,158.1], [11,149.2], [15,141.7], [18,134.6], [22,125.4], [25,123.5], [30,116.3], [34,113.2], [38,109.1], [42,105.7], [45,102.2], [50,100.5] ], "smps" : ["Time","Temp"], "vars" : ["S1","S2","S3","S4","S5","S6","S7","S8","S9","S10","S11","S12","S13","S14"] } } // Create the configuration for the graph var config = { "decorations": { "exponential": [ { "color": "red" } ] }, "graphType": "Scatter2D", "showDecorations": true, "showLegend": false, "xAxis": ["Time"], "yAxis": ["Temp"] } // Event used to create graph (optional) var events = false // Call the CanvasXpress function to create the graph var cX = new CanvasXpress("canvasId", data, config, events); </script> </body> </html>