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Figure 5. First-Order Predictors
and Interaction Model
COMPLETE-SECOND
ORDER MODEL
This model is also referred to as the full quadratic model. The general form for the
complete-second order model is
.
In this model
, the expected change in value
of Y depends on both variables
,
and
, when
is increased by one unit. In similar methods
done in the prior models
,
the expected change in Y is
. Since this is a function
involving two variables
, it implies that the contour lines are both curved and nonparallel to one another [2].
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same amount
focus will be
actual value
simple case
. 
and 
, when 
. Since this is a function