In Healthcare (this is a Healthcare Blog) some examples might include Average Length of Stay, Complications, Falls, Performance Metric Rates, Supply Chain Metrics, and more. The approach used in this example could be applied to any data on a date axis, for any industry. (Video) Discuss how to extend the Linear Regression Trendline calculations to uncover trends within the data and visualize patterns at scale.Provide a link to a sample PBIX file with a copy of the solution.Visualize and interpret the DAX calculations.Add a Linear Regression Trendline to a Dataset and Report using custom DAX.In this article (and related video tutorial) I'll cover the following: Linear trendlines can be useful for trendspotting, forecasting, and pattern identification in data. After designing and creating the example, I thought it would be useful to share with the Community. Recently I was asked to provide an example of a custom Linear Regression Trendline in Power BI that can dynamically re-calculate for both different levels of a Date hierarchy along with different filter selections. Custom Linear Regression DAX expressions give you insights into all components of the Y = MX + B equation.
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