Computer scienceData scienceMachine learningRegression

Multiple linear regression

Theory

Matrix notation

Report a typo

Consider the matrix notation of the equation used to fit a linear regression model to the data:

y→=Xw→+e→\overrightarrow{\bf{y}} = X \overrightarrow{\bf{w}} + \overrightarrow{\bf{e}}.

Match the terms in the formula above with their descriptions.

Match the items from left and right columns
None of the above
w→\overrightarrow{\bf{w}}
XX
e→\overrightarrow{\bf{e}}
y→\overrightarrow{\bf{y}}
A column vector of the model coefficients.
A column vector of the model residuals.
A matrix containing the values of the input variables.
A column vector of the target values.
An intercept
___

Create a free account to access the full topic