ECS3706 ASSIGNMENT 2 (COMPLETE ANSWERS) SEMESTER 2 2024 (399706) - DUE
SEPTEMBER 2024
Course
Econometrics (ECS3706)
Institution
University Of South Africa
Book
Econometric Analysis
, ECS3706 ASSIGNMENT 2 (COMPLETE ANSWERS) SEMESTER 2 2024 (399706) - DUE
SEPTEMBER 2024
Importance of Understanding Classical Linear Regression
Assumptions
Econometricians must know and understand the classical linear
regression assumptions for several crucial reasons.
The classical linear regression model is based on several
assumptions, including linearity, independence,
homoscedasticity, normality of errors, and no perfect
multicollinearity. Understanding these assumptions allows
econometricians to assess the validity of their model. If any of
the assumptions are violated, the results may be biased,
inconsistent, or inefficient.
1. OVERVIEW
In econometrics, linear regression is a fundamental tool used to
model and analyze the relationship between a dependent
variable and one or more independent variables. The classical
linear regression model is based on several key assumptions,
known as the classical linear regression assumptions. These
assumptions are essential for ensuring that the estimates
obtained from the regression are unbiased, efficient, and
consistent. Understanding these assumptions allows