Comments (3)
I second this
from highcharts_trendline.
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.
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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from highcharts_trendline.