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学生对 Rice University 提供的 Linear Regression for Business Statistics 的评价和反馈

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课程概述

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...

热门审阅

SK

Jun 21, 2020

Its a wonderful course and all the concept has been covered and it is highly recommended to a person who wants to pursue career in business analyst.

HB

Jun 19, 2020

Great learning with examples from real life, great approach to understand the concept without need to deep dive into the mathematical complexities. A great base to get into Data/Business Analytics.

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101 - Linear Regression for Business Statistics 的 125 个评论（共 217 个）

创建者 KALA N

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Jun 20, 2020

Sir, I would like to do more courses like testing of Statistical hypothesis

创建者 ASHISH C

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Jun 20, 2020

Very Informative, useful and supported with right kind of practice problems

创建者 Mohammed T C

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May 16, 2020

Excellent Course with 100% practical based learning. Learned a lot. Thanks

创建者 Mahendra G

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May 15, 2020

This is incredible course. The Instructor is fantastic to clear all basic.

创建者 Sumit J

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Feb 2, 2020

Great course. Concepts are easily explained with good examples. Thank you.

创建者 Anushk H

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Oct 30, 2020

Finally Completed this course. thanks a lot for have such a great course.

创建者 Elsayed k

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Jan 17, 2020

Very useful content. And, I really respect the instructor, he is great.

创建者 John D I

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Oct 1, 2018

Great course, very thorough with very good examples and explanations.

创建者 Noro B

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Jul 22, 2017

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

创建者 Junyong P

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Feb 21, 2021

This course could make me learn many things about linear regression.

创建者 Shifat S

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Jul 17, 2020

This course is very helpful for me because of it's analytical part.

创建者 Vincent R

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Mar 13, 2021

Very informative course on linear regression for business analysis

创建者 Kareem W B

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Sep 28, 2020

The course is a great course and the lecturer did excellently well

创建者 Xingling Z

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Jul 5, 2018

very east to understand and quick to learn. strong recommendation!

创建者 Shirish G

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Sep 11, 2019

Thoroughly explained Linear regression in very simple format.

创建者 Kevin A L A

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Dec 14, 2020

Excelentes videos con ejemplos que ayudan a aplicar lo visto

创建者 Chen Z

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Mar 31, 2021

a good course to introduce multilinear regression analysis

创建者 Gabriel A F G

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Sep 25, 2020

Excelente curso, para mi el mejor de la especialización.

创建者 Ponciano R

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May 21, 2018

This is a fantastic course and the teacher is excellent!

创建者 Aditya P

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Aug 24, 2020

Amazing Exercise quiz and Easy-Concept Learning videos.

创建者 Li Y

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Jun 21, 2017

Somewhat hard for some part. But practice makes prefect

创建者 Songly H

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Nov 23, 2017

Great course, easy-to-understand teaching approaches!

创建者 Ryan S

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Nov 22, 2020

The exams were challenging, confusing, but worth it.

创建者 Muhammad O N

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Jul 1, 2020

Awesome course, loved it, it was tough and exciting

创建者 LOKESH K N

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May 29, 2020

had good learning experience . i like to thank prof