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

4.8
1,150 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...

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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.

## 51 - Linear Regression for Business Statistics 的 75 個評論（共 185 個）

2018年11月17日

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

2020年5月15日

Lots of eye openers information with deep insights, really a great course. Will help in business to implement in real life scenario.

2018年8月1日

I loved this course and the videos and lecture were clearly explained. Doing the Regression model was a whole new experience for me!

2017年5月16日

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

2019年9月14日

Mr. Bodle presents the material in a very organized and understandable fashion. Well worth the time taking this class.

2020年10月13日

Amazing, I learn how to use Microsoft Excel and Linear Regression, that is a useful subject in business. Thanks a lot.

2018年10月18日

The course is essential for those who have no background in linear regression. The Lecturer of this course is amazing.

2020年8月9日

Excellent course. Gives great insight about regression and it's application. Must do course for any business analyst.

2017年8月10日

give a glimpse of regression without math/stats , suit for those who purely focus on LR application in business area

2020年10月13日

Very good teacher. I've learned a lot. The quizzes were just at the right difficulty to measure what you've learned

2020年1月15日

Good to learn and gain understanding on Linear regression model , dummy variable as well as log transformation.

2020年4月18日

Excellent course for anyone aiming to build a strong understanding of regression and building relevant models.

2020年5月26日

it as a great course and the main point the simplification for all business cases and how to learn the tricks

2019年3月16日

Marvellous course! Gives a very good idea of linear regression. A must for students and practicing managers.

2017年8月26日

Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.

2020年9月23日

the course is worth it!! this data analytics can be made so comfortable, was commendable. full points

2017年10月11日

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

2020年5月19日

Excellent content, Easy to understand examples, Interesting practice quizzes, Great Professor..!

2020年4月17日

very well formulated and EXCELLENTLY explained by sir and great overall team effort. Thank you.

2019年7月14日

Extraordinary course! Great presentations, great contents, usefull exercises and applications

2017年4月29日

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

Recommended!

2018年1月18日

Very well structured course. Sharad is an excellent teacher. Learnt a lot from this course.

2020年12月26日

Sweet and Simple, I was able to grasp all about regression that a beginner should know.

2020年5月20日

A well informative course would like to revise this course again as it is very helpful.

2020年4月3日

loved learning from the course. It seemed easy in application after learning so well!