Psychology 282
Lecture #26 Outline
Nonlinear Regression
Throughout this course we have employed a linear
regression model of the form:
Y = B0 + B1 X 1 + B2 X 2 + L + Bk X k
It is important to understand the sense in which this is
a linear model. A model o
Psychology 282 Lecture #22 Outline Interactions among Categorical Variables The two previous lectures have focused on incorporating categorical research factors into MLR models by using coded variables. Given a categorical research factor with g levels we
Psychology 282
Lecture #18 Outline
Interactions among Continuous Variables
Our study of MLR to this point has focused on an
additive model:
Y = B0 + B1 X 1 + B2 X 2 + L + Bk X k
This model represents the effects of the IVs as
additive. The right side of t
Psychology 282
Lecture #19 Outline
Probing Interactions among Continuous Variables
Suppose we carry out a MLR analysis using a model
that includes an interaction term and we find the
interaction effect to be statistically significant. It
then becomes impo
Psychology 282
Lecture #24 Outline
Regression Diagnostics: Outliers
In an earlier lecture we studied the statistical
assumptions underlying the regression model,
including the following points:
Formal statement of assumptions.
Consequences of violations
Psychology 282
Lecture #25 Outline
Multicollinearity in MLR
In the last lecture we studied outliers, their impact on
regression analyses and remedies for dealing with the
problems they cause. Note that outliers are
problematic observations or cases. In th