DENGAN PENDEKATAN MATRIKS DALAM REGRESI
Abstract: Regression is a model
that is usually used in many
field of study, include economics
and business, in a purpose to find causal relation of independent
variable to dependent variable. It is described
the relation of one or more independent
variables to one dependent variable.
In many cases, the regression
with more than two independent variables
is estimated by wrong formula or
equation. The fallacy usually exist because statistical or econometrics tax book,
which is used as reference, often show only the
regression formula for maximum
two independent variables. On the other
side, it is not much explanation how the
formula can be employed to find the coefficient of regression. There are many cases that
researchers used formula to calculate coefficient
for two independent
variables in calculation of
more than two independent variables. This paper uses matrix
analysis to find formula of regression as well as calculate it by using matrix
approach because the development of
formula of coefficient in
regression can be explained clearly by matrix approach. The different
formula and equation must be used
in different number of independent
variable is concluded by this paper. All variables that used in the
model are always calculated in every
formula of coefficient.
Penulis: Chandra Utama
Kode Jurnal: jpakuntansidd090076