OPEN-SOURCE SCRIPT

Function : Multiple Correlation


This script was written to calculate the correlation coefficient (Adjusted R-Squared) for one dependent and two independent variables.(3-way)
Pearson correlation method was used with exponential moving averages as the correlation calculation method.
Use your source ( i use "close" generally ) as the dependent variable.
Inspired by this article : real-statistics.com/correlation/multiple-correlation/

The Adjusted R-Squared coefficient is used as output, but the R-Squared coefficient is also available in the code.
Adjusted R-Squared is often used for multiple correlations.
It also gives better results in large samples.
Here is the article about the difference of the two coefficients : investopedia.com/ask/answers/012615/whats-difference-between-rsquared-and-adjusted-rsquared.asp

I wrote this function to increase the efficiency of my Dow Factor I used before.
When my research is over, I will apply the 3-factor correlation to my scripts.
I hope that I will achieve more efficient indicators and oscillators and even strategies.

In this command, I gave a few variable values ​​and plotted them as an example.
I hope this function is useful in your work.
Finally, you can use periods as mutable variables.
The function is recovered from integer loads.
Best regards. Noldo

correlatedcorrelationCorrelation Coefficient (CC)dowtheorymultiplenoldoR-Squared MethodstatisticsTrend AnalysisVolume

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