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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
ols This page explains how to perform an OLS regression on timeseries data using specific commands and parameters. It's useful for those working in data analytics or statistical modeling.
OLS regression
timeseries data
data analytics
statistical modeling
dependent variable
independent variable
no_output parameter

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Performs an OLS regression on timeseries data.

Usage

ols -d DEPENDENT -i INDEPENDENT [--no-output]

Parameters

Name Description Default Optional Choices
dependent The dependent variable on the regression you would like to perform None False None
independent The independent variables on the regression you would like to perform. E.g. historical.high,historical.low None False None
no_output Hide the output of the regression False True None