pyspark.sql.functions.regr_syy

pyspark.sql.functions.regr_syy(y: ColumnOrName, x: ColumnOrName) → pyspark.sql.column.Column

Aggregate function: returns REGR_COUNT(y, x) * VAR_POP(y) for non-null pairs in a group, where y is the dependent variable and x is the independent variable.

New in version 3.5.0.

Parameters

yColumn or str

the dependent variable.

xColumn or str

the independent variable.

Returns

Column

REGR_COUNT(y, x) * VAR_POP(y) for non-null pairs in a group.

Examples

>>> x = (col("id") % 3).alias("x")
>>> y = (randn(42) + x * 10).alias("y")
>>> df = spark.range(0, 1000, 1, 1).select(x, y)
>>> df.select(regr_syy("y", "x")).first()
Row(regr_syy(y, x)=68250.53503811295)

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