# Econometrics: Simple Linear Regression (Mistakes to Avoid)

Avoid these silly mistakes while studying Simple Linear Regression. Ideal for university students new to Econometrics.
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Econometrics: Simple Linear Regression (Mistakes to Avoid)
New
Rating: 0.0 out of 5 (0 ratings)
366 students
Avoid silly mistakes in Simple Linear Regression in the university exam

### Requirements

• Basic knowledge of Simple Linear Regression so that you could understand the mistakes mentioned
Description

The purpose of this econometrics course is to share with you the confusion points and some of the silly mistakes that students do while studying Simple Linear Regression.

Mistake 1: Placement of error term in population & sample regression equations. Also, have you ever seen 'X hat' in any of the regression equations?

Mistake 2:
What is it that we minimise in the method of OLS?
Do you first sum the sample errors and then square the sum?
OR
Do you first square the sample errors and then take the sum?

Mistake 3:
Not practicing the mathematical expressions. There are multiple ways of writing the formula for 'B2 hat'. Do you know all of them?

Mistake 4:
You must have encountered some assumptions while studying Simple Linear Regression. Do you put the assumptions on the sample error? Also, what is the mathematical expression for the sample error?

Mistake 5:
Not paying enough attention to the assumptions and linkages.
Example: What do you think about the following two statements? True or False.
Statement 1: In the presence of heteroscedasticity, the OLS estimators are biased.
Statement 2: For OLS estimators to be BLUE, the population error should follow a normal distribution.

Mistake 6:
Standard Deviation OR Standard Errors?

Mistake 7:
Testing the hypothesis on estimators or parameters?

So, what are you waiting for? Get started with the course so that you don’t make the same mistakes in your final exam!

Who this course is for:
• University students who are new to Econometrics and want to avoid silly mistakes in their final exam
Course content
3 sections • 9 lectures • 34m total length
• Introduction to the Course and Instructor
00:50
• Mistake 1 - Placement of error term in population & sample regression equations
05:28
• Mistake 2 - What is the expression that we minimise in the method of OLS?
02:39
• Mistake 3 - Not practicing the mathematical expressions
06:42
• Mistake 4 - Assumptions on the sample error?
03:11
• Mistake 5 - Not paying enough attention to the assumptions and linkages
05:21
• Mistake 6 - Standard Deviation or Standard Error?
05:12
• Mistake 7 - Testing the hypothesis on estimators or parameters?
05:17
• Bonus Lecture
00:15

Instructor
Founder at Eduspred, Full Time Econometrics Instructor

Shubham Kalra has a Masters in Economics degree from Delhi School of Economics and has worked as a Business Analyst in one of the largest banking and financial services organisations in the world.

He has been teaching Economics, Statistics and Econometrics since he was in college. He became a full-time professional tutor in 2015. Since then he has provided support to students from around 40 universities across US, UK and India. He has worked with students who were complete beginners, as well as those who were facing challenges in mastering advanced topics.