返回到 Linear Regression for Business Statistics

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93 个审阅

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 ‘Data Analysis’ 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:
• Introducing the Linear Regression
• Building a Regression Model and estimating it using Excel
• Making inferences using the estimated model
• Using the Regression model to make predictions
• 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 ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression.
Topics covered include:
• Hypothesis testing in a Linear Regression
• ‘Goodness of Fit’ measures (R-square, adjusted R-square)
• 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:
• Dummy variable Regression (using Categorical variables in a Regression)
• Interpretation of coefficients and p-values in the presence of Dummy variables
• 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 ‘Interaction variables’ 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:
• Mean centering of variables in a Regression model
• Building confidence bounds for predictions using a Regression model
• Interaction effects in a Regression
• Transformation of variables
• The log-log and semi-log regression models...

Dec 21, 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.

Jul 12, 2019

I learned a lot.I gain confidence in analyzing data in Excel.I am happy that I have successfully completed it with simple understanding given on each topic.It was great help.Thank you very much

筛选依据：

创建者 Akshay H

•May 05, 2017

Best Course to understand Linear Regression.Thank you team Rice University for simple yet effective course on Linear Regression.Do enroll for this course if you want to understand linear regression thoroughly.

创建者 Noro B

•Jul 22, 2017

Great source to learn regression with excel. Hard to find elsewhere !

创建者 Lluís M

•Dec 09, 2017

Really useful for understanding regressions, the meaning of the coefficients. Also very helpful to do more analysis than what most people usually do to data.

创建者 GAYATHRI S

•Jan 02, 2018

It was great!

创建者 Avi G

•Sep 20, 2017

A very good course on Regression statistics with examples from the business sector that can be used later in work or life. Prof. Borle explained all topics slowly and clearly. i would extend the course to more Regression topics (residuals@ more)

Thank you prof. Borle.

创建者 Yogendra D

•Nov 22, 2017

Very Thankful to the Professor for explaining each and every concept in detail.

创建者 Olivia B

•Mar 26, 2018

Very well explained and ea

创建者 Ponciano R

•May 21, 2018

This is a fantastic course and the teacher is excellent!

创建者 Anar S

•May 16, 2017

Well designed and business friendly explanation. Thanks to Sharad Borle I gained much deeper knowledge on linear regression.

创建者 Cristiano S

•Sep 09, 2017

Excellent!

创建者 Ryan M

•Apr 10, 2017

Well taught and extremely useful information. I was able to take knowledge from this course and apply it directly to analytical reports I write at work.

创建者 Pieter D

•Apr 29, 2017

Excellent course! Very clear explanations of concepts and lots of great examples.

Recommended!

创建者 Panneer S X

•Oct 11, 2017

Very well designed and good examples illustrate the Regression model. Thanks for the Opportunity,

创建者 vinay b

•Sep 10, 2017

Well structured course work

创建者 Priyanshu S

•Jan 24, 2018

extemely lucid and connecting course with ample real time excel hands on and example

创建者 Antonio R d G F

•Oct 30, 2017

Amazing Professor !

创建者 Priyank G

•Jan 06, 2018

Amazing !! The concepts were explained with clarity which have immediate applicability. Can't wait to apply them into my organisation.

创建者 MONTCHO H M

•Jul 25, 2018

interesting course

创建者 Victor W

•Apr 21, 2019

Very good course for people of all backgrounds and experience levels in the topic! If you are new to regression or familiar with it I highly recommend it.

创建者 Vitalii S

•Apr 26, 2019

practical

创建者 jittu s

•May 16, 2019

great course

创建者 shwetamehna

•Jun 19, 2019

I like this course. You need to study this course if you want basic understanding of Statistics because Statistics is base need of analytical field. And instructor explained each and every team in a very simple way. Thanks a lot Professor.

创建者 Lalit G

•Aug 05, 2019

Awesome course...Very interesting to learn.

创建者 EDILSON S S O J

•May 31, 2019

Nice course!

创建者 Ayush B

•Aug 12, 2019

Excellent course for beginners