Closed gregmacfarlane closed 4 years ago
The X\beta
construction is most common when, as in the current case, the X
represents a matrix rather than a single vector variable. This is important when considering the dimensionality of matrix multiplication. The dimension of X
is n
by p
where p is the number of predictor variables. The dimension of \beta
is p
by 1
; thus the product X\beta
is an n
by 1
vector.
We have edited all of the equations to use bold-faced font when referring to variables that are in fact vectors.
Reviewer 2: