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39 lines
1.1 KiB
Markdown
Vendored
39 lines
1.1 KiB
Markdown
Vendored
---
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title: ols
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description: This page explains how to perform an OLS regression on timeseries data
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using specific commands and parameters. It's useful for those working in data analytics
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or statistical modeling.
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keywords:
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- OLS regression
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- timeseries data
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- data analytics
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- statistical modeling
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- dependent variable
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- independent variable
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- no_output parameter
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="econometrics /ols - Reference | OpenBB Terminal Docs" />
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Performs an OLS regression on timeseries data.
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### Usage
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```python
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ols -d DEPENDENT -i INDEPENDENT [--no-output]
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```
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---
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## Parameters
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| Name | Description | Default | Optional | Choices |
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| ---- | ----------- | ------- | -------- | ------- |
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| dependent | The dependent variable on the regression you would like to perform | None | False | None |
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| independent | The independent variables on the regression you would like to perform. E.g. historical.high,historical.low | None | False | None |
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| no_output | Hide the output of the regression | False | True | None |
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---
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