General Linear Model

General Linear Model

Y = Gb + e

Y - represents experimental observations (dependent variables).

G - is comprised of the coefficients gik and is called the design matrix. It represents the experimental manipulations (independent variables).

b - represents the unknown parameters (regression coefficients) being sought.