Вернуться к Linear Regression for Business Statistics

4.8

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Оценки: 648

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Рецензии: 104

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

Фильтр по:

автор: Rishav k

•Dec 26, 2017

Could have been more challenging. Moderate courses are easy to pass but doesn't bring about extreme competitive spirit. Some peer graded assignments could be better.

автор: Shady N S T

•Dec 27, 2018

I love this Specialization, and look forward to completing it! It's an amazing journey in Statistics with Excel! If you're a beginner in Statistics, you might see the whole Specialization a bit difficult and will need to look for a Statistics course. The instructor is also a huge plus!

автор: Karen S Z

•Aug 01, 2018

Excellent introduction to Linear Regression. As you progress, you learn how to use dummy (category) variables as well as interaction variables. Examples are explained in detail so you can understand how it works. This course isn't about understanding all the detailed math & theory, but explains enough to you understand (at a high level) what you're doing and why. Then, you learn how to do it in Excel. I really enjoyed this class!

автор: 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.

автор: 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.

автор: Kirtana S

•May 07, 2017

I thoroughly enjoyed this course. This is an excellent course for all those who wish to understand and apply regression at work. Professor Borle explains every concept in detail and ensures he interprets each aspect as simple as possible.

автор: ALONE L R

•Jan 02, 2020

It 's best course to online learning to the business analysis tool plus software knowledge. It's really help full me . Thank You So Much Coursera. I am lucky to financial help me, Thank you so much......

And Respective Sir Thank you

автор: Scott L

•Sep 16, 2018

Though I was briefly introduced to linear regression in my graduate studies, I found the structure and presentation of this material to be more helpful to learning and understanding the material AND it's use cases.

автор: 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.

автор: Gareth W

•Mar 01, 2020

A good introduction into the practical uses of regression. It starts with the basics (that you probably learnt at school) and then adds more sophistication that takes the subject up to the current day.

автор: William B

•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.

автор: flavio e d s

•Dec 03, 2019

Curso muito bom, aprendi muitos conceitos, o curso é bastante voltado para interpretação dos resultados, fiz algumas analises no trabalho aplicando os conceitos que aprendi, recomendo bastante.

автор: SUSHMITA U D

•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

автор: shikha

•Aug 28, 2019

Very informative, well designed course. The flow of the course was set in such a way that you easily cruise through it. Thoroughly enjoyed learning. Highly recommended.

автор: Miranda W

•May 01, 2018

Well structured course with clear modules and helpful exercises to reinforce the material. Professor Borle does a great job and is very responsive to questions.

автор: Jitka S

•Mar 06, 2020

Excellent course, same as the previous courses of this specialization. Explains statistic for beginners in a great way, easy to follow, with a lot of examples.

автор: 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.

автор: 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.

автор: 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.

автор: Renier B

•Mar 12, 2020

Very hands-on without losing sight of theory behind it, so one knows how it works, why it works and maybe most important when to use it and when not.

автор: Ramasubramaniyam S

•Oct 20, 2018

Completion of the four courses in the specialization makes me feel more interested and confident in the vast art of Business Statistics and Analytics

автор: Michael H

•Nov 17, 2019

This was the most useful and insightful class in the specialization so far, at least for me and what I was looking to get out of these courses

автор: Tori G

•Oct 06, 2019

I thoroughly enjoyed this course. The instructors were very clear and concise thereby making the course easy to follow and understand.

автор: 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.

автор: Jordi M

•Nov 17, 2018

Excelent course to gain a deep and solid understanding about linear regressions. The course is very focused on this, which is great!!

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