where each equation is a linear function composed of coefficients and variable names. The label is optional.
The MTEST statement is used to test hypotheses in multivariate regression models where there are several dependent variables fit to the same regressors. If no equations or options are specified, the MTEST statement tests the hypothesis that all estimated parameters except the intercept are zero.
The hypotheses that can be tested with the MTEST statement are of the form
where is a linear function on the regressor side, is a matrix of parameters, is a column vector of constants, is a row vector of ones, and is a linear function on the dependent side. The special case where the constants are zero is
See the section Multivariate Tests for more details.
Each linear function extends across either the regressor variables or the dependent variables. If the equation is across the dependent variables, then the constant term, if specified, must be zero. The equations for the regressor variables form the matrix and vector in the preceding formula; the equations for dependent variables form the matrix. If no equations for the dependent variables are given, PROC REG uses an identity matrix for , testing the same hypothesis across all dependent variables. If no equations for the regressor variables are given, PROC REG forms a linear function corresponding to a test that all the nonintercept parameters are zero.
As an example, consider the following statements:
model y1 y2 y3=x1 x2 x3; mtest x1,x2; mtest y1-y2, y2 -y3, x1; mtest y1-y2;
The first MTEST statement tests the hypothesis that the X1
and X2
parameters are zero for Y1
, Y2
, and Y3
. In addition, the second MTEST statement tests the hypothesis that the X1
parameter is the same for all three dependent variables. For the same model, the third MTEST statement tests the hypothesis
that all parameters except the intercept are the same for dependent variables Y1
and Y2
.
You can specify the following options in the MTEST statement: