Back to Linear Regression for Business Statistics

stars

1,278 ratings

Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.
This is the fourth course in the specialization, "Business Statistics and Analysis". The course introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.
The focus of the course is on understanding and application, rather than detailed mathematical derivations.
Note: This course uses the â€˜Data Analysisâ€™ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac.
WEEK 1
Module 1: Regression Analysis: An Introduction
In this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.
Topics covered include:
â€¢ Introducing the Linear Regression
â€¢ Building a Regression Model and estimating it using Excel
â€¢ Making inferences using the estimated model
â€¢ Using the Regression model to make predictions
â€¢ Errors, Residuals and R-square
WEEK 2
Module 2: Regression Analysis: Hypothesis Testing and Goodness of Fit
This module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the â€˜Dummy variable regressionâ€™ which is used to incorporate categorical variables in a regression.
Topics covered include:
â€¢ Hypothesis testing in a Linear Regression
â€¢ â€˜Goodness of Fitâ€™ measures (R-square, adjusted R-square)
â€¢ Dummy variable Regression (using Categorical variables in a Regression)
WEEK 3
Module 3: Regression Analysis: Dummy Variables, Multicollinearity
This module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it.
Topics covered include:
â€¢ Dummy variable Regression (using Categorical variables in a Regression)
â€¢ Interpretation of coefficients and p-values in the presence of Dummy variables
â€¢ Multicollinearity in Regression Models
WEEK 4
Module 4: Regression Analysis: Various Extensions
The module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as â€˜Interaction variablesâ€™ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models.
Topics covered include:
â€¢ Mean centering of variables in a Regression model
â€¢ Building confidence bounds for predictions using a Regression model
â€¢ Interaction effects in a Regression
â€¢ Transformation of variables
â€¢ The log-log and semi-log regression models...

WB

Dec 20, 2017

I have found Course 3 and 4 of this specialization to be challenging, but rewarding. It has helped me build confidence that I can do just about anything with data provided to increase positive impact.

BB

Apr 21, 2020

Wonderful Course having in depth knowledge about all the topics of regression analysis. Instructor is very much clear about the topic and having good teaching skill. Method of teaching also very good.

Filter by:

By Rishav k

â€¢Dec 26, 2017

By Susannah

â€¢Jun 16, 2020

By Shady N

â€¢Dec 27, 2018

By William B

â€¢Dec 21, 2017

By Bhavin B

â€¢Apr 22, 2020

By James P W

â€¢Feb 17, 2019

By Swati D

â€¢Feb 6, 2018

By Lawrence H

â€¢Oct 7, 2020

By JOHN S

â€¢Oct 11, 2020

By Karen S Z

â€¢Jul 31, 2018

By Ashis G

â€¢May 17, 2020

By Faisal n K

â€¢Aug 17, 2020

By Anirban G

â€¢Jun 26, 2020

By Avi G

â€¢Sep 20, 2017

By Victor A

â€¢Jan 30, 2022

By KRYSTALLIA A

â€¢Mar 28, 2021

By shwetamehna

â€¢Jun 18, 2019

By Kirtana S

â€¢May 6, 2017

By Anchal R

â€¢May 10, 2020

By Mohammad R

â€¢Jan 6, 2021

By ALONE L R

â€¢Apr 11, 2020

By Praval P

â€¢May 2, 2020

By Michael I

â€¢Jul 31, 2020

By Veerendra A

â€¢May 4, 2020

By Lori-Ann B

â€¢Nov 14, 2020

- Google Data Analyst
- Google Project Management
- Google UX Design
- Google IT Support
- IBM Data Science
- IBM Data Analyst
- IBM Data Analytics with Excel and R
- IBM Cybersecurity Analyst
- IBM Data Engineering
- IBM Full Stack Cloud Developer
- Facebook Social Media Marketing
- Facebook Marketing Analytics
- Salesforce Sales Development Representative
- Salesforce Sales Operations
- Intuit Bookkeeping
- Preparing for Google Cloud Certification: Cloud Architect
- Preparing for Google Cloud Certification: Cloud Data Engineer
- Launch your career
- Prepare for a certification
- Advance your career

- Skills for Data Science Teams
- Data Driven Decision Making
- Software Engineering Skills
- Soft Skills for Engineering Teams
- Management Skills
- Marketing Skills
- Skills for Sales Teams
- Product Manager Skills
- Skills for Finance
- Popular Data Science Courses in the UK
- Beliebte Technologiekurse in Deutschland
- Popular Cybersecurity Certifications
- Popular IT Certifications
- Popular SQL Certifications
- Marketing Manager Career Guide
- Project Manager Career Guide
- Python Programming Skills
- Web Developer Career Guide
- Data Analyst Skills
- Skills for UX Designers

- MasterTrackÂ® Certificates
- Professional Certificates
- University Certificates
- MBA & Business Degrees
- Data Science Degrees
- Computer Science Degrees
- Data Analytics Degrees
- Public Health Degrees
- Social Sciences Degrees
- Management Degrees
- Degrees from Top European Universities
- Master's Degrees
- Bachelor's Degrees
- Degrees with a Performance Pathway
- Bsc Courses
- What is a Bachelor's Degree?
- How Long Does a Master's Degree Take?
- Is an Online MBA Worth It?
- 7 Ways to Pay for Graduate School
- See all certificates