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* add first iteration of content for Terminal Pro * Update index.md * Update dashboards.md * Update folders.md * Update grouping.md * Update report.md * Update templates.md * Update quick-start.md * Update index.md * Update index.md * Update home.md * Update news.md * Update index.md * Update index.md * Update index.md * Update data-provider.md * Update chat-with-widget.md * Update data-manipulation.md * Update forecasting.md * fix: images self closing tags * fix: only pro visitors can see pro * inter font * improve SEO content and restructuring * add new package for toggle on tutorials * move folder around * improve main page of each prod * small updates and improvements * fix logo above * small improvement in headtitle for portfolio funcs * fix typos from OpenAI's GPT-4 * fix _category_ json * remove generic SEO words * add script that generates SEO for documentation * add missing file * remove sdk warning message * fix links for andrew --------- 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>
2.5 KiB
Vendored
2.5 KiB
Vendored
title, description, keywords
| title | description | keywords | |||||||
|---|---|---|---|---|---|---|---|---|---|
| dwat | Detailed explanation of Durbin Watson autocorrelation test calculations and chart visualisation using OpenBBTerminal's econometrics functions. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';
Calculate test statistics for Durbin Watson autocorrelation
Source Code: [link]
openbb.econometrics.dwat(model: statsmodels.regression.linear_model.RegressionResultsWrapper)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| model | statsmodels.regression.linear_model.RegressionResultsWrapper | Previously fit statsmodels OLS. | None | False |
Returns
| Type | Description |
|---|---|
| float | Test statistic of the Durbin Watson test. |
Examples
from openbb_terminal.sdk import openbb
df = openbb.econometrics.load("wage_panel")
Y, X = df["lwage"], df[["exper","educ"]]
model = openbb.econometrics.ols(Y,X)
durbin_watson_value = openbb.econometrics.dwat(model)
0.96
Show Durbin-Watson autocorrelation tests
Source Code: [link]
openbb.econometrics.dwat_chart(model: statsmodels.regression.linear_model.RegressionResultsWrapper, dependent_variable: pd.Series, plot: bool = True, export: str = "", external_axes: Optional[List[axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| model | OLS Model | A fit statsmodels OLS model. | None | False |
| dependent_variable | pd.Series | The dependent variable for plotting | None | False |
| plot | bool | Whether to plot the residuals | True | True |
| export | str | Format to export data | True | |
| external_axes | Optional[List[plt.axes]] | External axes to plot on | None | True |
Returns
This function does not return anything