Category:Regression
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This category contains results about Regression.
Definitions specific to this category can be found in Definitions/Regression.
Let $X$ and $Y$ be random variables.
The regression of $Y$ on $X$ for a given value of $x$ is the mapping defined and denoted as:
- $\forall x \in X: \map f {Y, x} := \expect {Y \mid x}$
where $\expect {Y \mid x}$ denotes the expectation of $Y$ conditional upon $x$.
Subcategories
This category has the following 10 subcategories, out of 10 total.
C
- Cause Variables (empty)
E
- Effect Variables (empty)
- Examples of Regression (2 P)
L
- Loess (empty)
M
- Multiple Regression (empty)
R
- Regression Coefficients (1 P)