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FIRST-ORDER MODEL
The first model
is the first-order model where
. This is the most clear-cut generalization of the simple linear regression model. This model maintains that for
a set value of one variable
, the expected value of Y is a linear function of the remaining variable. Thus, when graphing the regression
equation as a function of
for various values of
, the graph is a collection of parallel lines [2]. See Figure 3.
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same amount
focus will be
actual value
simple case
. This is the most clear-cut generalization of the simple linear regression model. This model maintains that for 
, the graph is a collection of parallel lines [2]. See Figure 3.