Qualitative Variables as
Independent Variables in a
Regression Model
Dummy Variable
1
Qualitative Variables - Dummy Variables
A dummy variable is a variable that takes on a
numerical value to represent the presence or
absence of a characteristic, or outco
Functional Form of
Linear Regressions
Functional Form
1
Linear Model: Y = 1 + 2X +
Model
Dependent Independent Interpretation
of 2
Variable
Variable
Level-level Y
Y = 2X
X
Linear model states that the dependent variable is directly
proportional to the va
Multicollinearity
Multicollinearity
1
Assumption of No Collinearity
MR5 The values of each xik are not exact linear
functions of the other explanatory variable
When explanatory variables move together in
systematic ways they are said to be collinear
This
Endogeneity Problem
IV Estimation in the Multiple Regression
If all or one of the independent variables is not
exogenous the least squares estimators are biased
and inconsistent
Endogeneity problem occurs when
(1) Measurement Error, errors-in-variables
Ca
Linear Restrictions
Linear Restrictions
The general linear hypothesis is a set of J restrictions
on the parameters of linear regression model
In matrix form the linear restrictions could be written as
R = q
y = xi11 + xi22 + + xiKK + i
However, general fo
Log-Linear Regression Model
Model
Dependent
Variable
Independent
Variable
Interpretation of
b2
If we have an exponential function Y= aXbeu and take
the log of both sides we have
Linear
Y
X
Y = 2*X
LogLinear
Ln(Y)
Ln(X)
%Y=2*%X
Semilog
Ln(Y)
X
%Y = 1002*X
Example Y = b1 + d1D + b2X2 + , if d1 > 0
Qualitative Variables - Dummy Variables
Consider a population model with one dummy variable, D,
and one continuous variable, X2
Y = b1 + d1D + b2X2 +
when D = 1
b1 is the average value of Y for the base group whe
MATH 1324
Quiz 2
Show all work in the space provided. Credit will be given only for work that is clear and readable.
1. Use the given information to fill in the number of elements for each of the 8 regions in the Venn diagram.
n ( A ) = 13, n ( A B C ) =
UNIVERSIDAD NACIONAL PEDRO RUIZ GALLO
FACFYM
RESPUESTA AL ESCALON DE SISTEMAS DE 2
ORDEN
ESPECIALIDAD:
INGENIERIA ELECTRONICA
CURSO:
CONTROL I
ALUMNOS:
SALAZAR DIAZ GUILLERMO
SANCHEZ VIVAS MARCOS
TUME SAMAME JUNIOR
LAMBAYEQUE
RESPUESTA AL ESCALON DE SISTE
8. How do you consider the keeping that we give to our touristic places and our customs
and traditions?
How do you consider the keeping that we give to our touristic places and our customs and traditions?
74%
80%
70%
60%
50%
40%
30%
20%
10%
0%
19%
6%
GOOD
UNIVERSIDAD NACIONAL PEDRO RUIZ GALLO
FACFYM
LABORATORIO N4
ESPECIALIDAD:
INGENIERIA ELECTRONICA
CURSO:
CIRCUITOS ELECTRONICOS III
ALUMNO:
SALAZAR DIAZ GUILLERMO A.
LAMBAYEQUE
Oscilador de cambio de fase
1. Objetivos:
- Disear y demostrar la operacin de u
Department of Health
and
Kinesiology
The Department of Health and
Kinesiology currently offers a webbased degree program leading to a
Masters of Public Health (MPH) with a
concentration in health disparities.
Currently, the MPH program is the
first offere
Guidelines for Capstone
MPH in Health Disparities
Lamar University
Overview
The MPH Capstone project is a requirement for graduation for students in the Master of Public
Health (MPH) program at Lamar University.
The MPH Capstone is an opportunity for stud
RUBRICS Scavenger Hunt
10 points-answering at least 50% of the list of student characteristics on the template
assigned.
10 points-Discussion section-discuss the characteristics and share your characteristics
with other students. Must communicate at least
ACRONYMS ASSIGNMENT
1. CDC- Center of Disease Control and Prevention. CDC is a mission, CDC
works 24/7 to protect America from health, safety and security threats, both
foreign and in the U.S. Whether diseases start at home or abroad, are chronic or
acute
Test 8
Question 1
0 out of 3.03 points
At the age of 12 years, the average girl is _ than the average boy.
Question 2
0 out of 3.03 points
Caffeine should be totally avoided in pregnancy.
Question 3
0 out of 3.03 points
After the first trimester of pregna
Linear Restrictions
Given our with the linear regression model
y = xi1 1 + xi2 2 + + xiK K + i
We may be interested in testing if parameters of this
model have specific values or relationships
The specific values or relationships usually come
from theorie
