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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

BB

Apr 21, 2020

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.

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.

筛选依据：

76 - Linear Regression for Business Statistics 的 100 个评论（共 217 个）

创建者 Sara A

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May 26, 2020

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

创建者 ARVIND S

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Mar 15, 2019

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

创建者 Gregorio A A P

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Aug 26, 2017

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

创建者 Rig B

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Sep 23, 2020

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

创建者 Yi-Hsuan L

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Sep 10, 2021

Great course! Would be good to elaborate more on the derivation of log-log/ semi-log transformation.

创建者 Panneer S

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Oct 10, 2017

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

创建者 Ramesh K

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May 19, 2020

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

创建者 Delnaz J

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Apr 17, 2020

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

创建者 Camilo S

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Jul 14, 2019

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

创建者 Pieter D

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Apr 29, 2017

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

Recommended!

创建者 Siddharth S

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Jan 18, 2018

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

创建者 Vipul J

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Dec 26, 2020

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

创建者 HARSHITA M

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May 20, 2020

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

创建者 Runjhun S

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Apr 3, 2020

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

创建者 jorge l

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Jun 20, 2018

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

创建者 Manuel A

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May 16, 2021

Great course!! I learn a lot to create statical models and to interprect it corectly

创建者 Priyanshu S

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Jan 23, 2018

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

创建者 BRAJESH B

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May 31, 2020

Fundamentals are explained beautifully with very good examples and easy explanation

创建者 Ketevani A

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Nov 12, 2018

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

创建者 Jorge I L

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May 30, 2024

Excellent course, with very clear explanations and examples, ¡totally recommended!

创建者 Eddy K

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Dec 3, 2020

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

创建者 Abhinav

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Jul 26, 2020

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

创建者 Yogii D

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Nov 21, 2017

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

创建者 Pema N

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Nov 27, 2020

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

创建者 Anita O

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Jan 25, 2022

Learned so much and how to properly interpret regression models. Thank you!