# 學生對 莱斯大学 提供的 Linear Regression for Business Statistics 的評價和反饋

4.8
1,146 個評分
190 條評論

## 課程概述

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...

## 熱門審閱

BB
2020年4月21日

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.

WB
2017年12月20日

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.

## 76 - Linear Regression for Business Statistics 的 100 個評論（共 185 個）

2018年6月20日

Good course, examples are very constructive and instructor presentations are vey good

2018年1月24日

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

2020年5月31日

Fundamentals are explained beautifully with very good examples and easy explanation

2018年11月12日

Excellent course, perfectly planned and explained. Great mentor. Thank you so much.

2020年12月3日

WELL, THE COURSE WAS CHALLENGING BUT THE LECTURER IS THE BEST. SO, DO IT, YOU CAN.

2020年7月27日

Excellent course. I learned a lot. Thank you professor for a wonderful lectures.

2017年11月22日

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

2020年11月27日

really did helped me to get good ideas and learnt a great deal on regression.

2020年6月20日

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

2020年6月20日

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

2020年5月16日

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

2020年5月15日

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

2020年2月2日

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

2020年10月30日

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

2020年1月17日

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

2018年10月1日

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

2017年7月22日

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

2020年7月17日

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

2020年9月28日

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

2018年7月5日

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

2019年9月12日

Thoroughly explained Linear regression in very simple format.

2020年12月14日

Excelentes videos con ejemplos que ayudan a aplicar lo visto

2020年9月25日

Excelente curso, para mi el mejor de la especialización.

2018年5月21日

This is a fantastic course and the teacher is excellent!

2020年8月24日

Amazing Exercise quiz and Easy-Concept Learning videos.