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Comments (3)

vigneshwaranr avatar vigneshwaranr commented on September 23, 2024

I second this

from highcharts_trendline.

cstefano avatar cstefano commented on September 23, 2024

The calculation of the trend line (regression) data points is independent to HighCharts, so you can extrapolate the projected value mathematically, using the slope and y-intercept that is calculated by the fitData function.

For linear regressions the formula is y = mx + c. Where m = slope and c = y-intercept, so given an x value, you can calculate the y value.

from highcharts_trendline.

virtualstaticvoid avatar virtualstaticvoid commented on September 23, 2024

I've built in support for calculating projected x or y values to the regression. See demo5.html for an example.

E.g.

// define data array
var sourceData = [
  [106.4, 271.8],
  [295.6, 432.3],
  [129.9, 133.2],
  [144.0, 134.7],
  [216.4, 319.2],
  [435.6, 665.3]
];

var linRegression = fitData(sourceData);

// project starting and ending values
var projectedX = linRegression.x(50);
var projectedY = linRegression.x(500);

// insert projected values into the array
var linRegressionData = linRegression.data;
linRegressionData.unshift([projectedX, 50]);
linRegressionData.push([500, projectedY]);

// use linRegressionData for the data for the trend line on the chart 
...

from highcharts_trendline.

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