snowflake.snowpark.functions.regr_intercept¶

snowflake.snowpark.functions.regr_intercept(y: Union[Column, str], x: Union[Column, str]) → Column[source]¶

Returns the intercept of the univariate linear regression line for non-null pairs in a group. It is computed for non-null pairs using the following formula: AVG(y)-REGR_SLOPE(y,x)*AVG(x), where x is the independent variable and y is the dependent variable.

Example:

>>> df = session.create_dataframe([[10, 11], [20, 22], [30, 35]], schema=["v", "v2"])
>>> df.groupBy().agg(regr_intercept(df["v"], df["v2"]).alias("regr_intercept")).collect()
[Row(REGR_INTERCEPT=1.1547344110854496)]
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