ols_regression
Perform Ordinary Least Squares (OLS) regression.
OLS regression is a fundamental statistical method to explore and model the relationship between a dependent variable and one or more independent variables. By fitting the best possible linear equation to the data, it helps uncover how changes in the independent variables are associated with changes in the dependent variable. This returns the model and results objects from statsmodels library.
Parameters
- standard
data
: list[openbb_core.provider.abstract.data.Data]
Input dataset.
• Optional: False
y_column
: str
Target column.
• Optional: False
x_columns
: list[str]
list of columns to use as exogenous variables.
• Optional: False
Returns
results
: list[dict]
Serializable results.
provider
: None
Provider name.
warnings
: Optional[list[Warning_]]
list of warnings.
chart
: Optional[Chart]
Chart object.
extra
: dict[str, Any]
Extra info.