Regression Analysis / Data Analytics in Regression

Regression Analysis / Data Analytics in Regression, available at $54.99, has an average rating of 4.5, with 18 lectures, 4 quizzes, based on 1298 reviews, and has 7037 subscribers.

You will learn about Understand when to use simple, multiple, and hierarchical regression Understand the meaning of R-Square and the role it plays in regression Assess a regression model for statistical significance, including both the overall model and the individual predictors Effectively utilize regression models in your own work and be able to critically evaluate the work of others Understand predicted values and their role in the overall quality of a regression model Understand hierarchical regression, including its purpose and when it should be used Use regression to assess the relative value of competing predictors Make business decisions about the best models to maximize profits while minimizing risk Critically evaluate regression models used by others Learn how to conduct correlation and regression using both IBM SPSS and Microsoft Excel This course is ideal for individuals who are Anyone interested in learning more about regression analysis. or This course is not for those looking for a general introduction to statistics course. For this we recommend taking a look at our descriptive statistics or inferential statistics courses. (This course specializes in regression analysis.) or Those looking to increase their knowledge of regression. It is particularly useful for Anyone interested in learning more about regression analysis. or This course is not for those looking for a general introduction to statistics course. For this we recommend taking a look at our descriptive statistics or inferential statistics courses. (This course specializes in regression analysis.) or Those looking to increase their knowledge of regression.

Enroll now: Regression Analysis / Data Analytics in Regression

Summary

Title: Regression Analysis / Data Analytics in Regression

Price: $54.99

Average Rating: 4.5

Number of Lectures: 18

Number of Quizzes: 4

Number of Published Lectures: 17

Number of Published Quizzes: 4

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 21

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Understand when to use simple, multiple, and hierarchical regression
Understand the meaning of R-Square and the role it plays in regression
Assess a regression model for statistical significance, including both the overall model and the individual predictors
Effectively utilize regression models in your own work and be able to critically evaluate the work of others
Understand predicted values and their role in the overall quality of a regression model
Understand hierarchical regression, including its purpose and when it should be used
Use regression to assess the relative value of competing predictors
Make business decisions about the best models to maximize profits while minimizing risk
Critically evaluate regression models used by others
Learn how to conduct correlation and regression using both IBM SPSS and Microsoft Excel

Who Should Attend

Anyone interested in learning more about regression analysis.
This course is not for those looking for a general introduction to statistics course. For this we recommend taking a look at our descriptive statistics or inferential statistics courses. (This course specializes in regression analysis.)
Those looking to increase their knowledge of regression.

Target Audiences

Anyone interested in learning more about regression analysis.
This course is not for those looking for a general introduction to statistics course. For this we recommend taking a look at our descriptive statistics or inferential statistics courses. (This course specializes in regression analysis.)
Those looking to increase their knowledge of regression.

November, 2019.

Get marketable and highly sought after skills in this course while substantially increasing your knowledge of data analytics in regression. All course videos created and narrated by an award winning instructor and textbook author of quantitative methods.

This course covers running and evaluating linear regression models (simple regression, multiple regression, and hierarchical regression), including assessing the overall quality of models and interpreting individual predictors for significance. R-Square is explored in depth, including how to interpret R-Square for significance. Together with coverage of simple, multiple and hierarchical regression, we’ll also explore correlation, an important statistical procedure that is closely related to regression.

By the end of this course you will be skilled in running and interpreting your own linear regression analyses, as well as critically evaluating the work of others. Examples of running regression in both SPSS and Excel programs provided. Lectures provided in high quality, HD video with course quizzes available to help cement the concepts. Taught by a PhD award-winning university instructor with over 15 years of teaching experience. At Quantitative Specialists, our highest priority is in creating crystal-clear, accurate, easy-to-follow videos.

Tame the regression beast once and for all – enroll today!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Correlation – Part 1

Lecture 3: Correlation – Part 2

Lecture 4: Correlation With More Than Two Variables – Excel

Lecture 5: Correlation with More than Two Variables – SPSS

Chapter 2: Simple Regression – One Predictor (or IV)

Lecture 1: Simple Regression – Example 1 (Part 1)

Lecture 2: Simple Regression – Example 1 (Part 2)

Lecture 3: Simple Regression – Example 2

Chapter 3: Multiple Regression – 2+ Predictors (IVs)

Lecture 1: Multiple Regression – Part 1

Lecture 2: Multiple Regression – Part 2

Lecture 3: Finding Predicted Values – Part 1

Lecture 4: Finding Predicted Values – Part 2

Chapter 4: Hierarchical Regression – 2+ Predictors (with order of entry)

Lecture 1: Hierarchical Regression – Part 1

Lecture 2: Hierarchical Regression – Part 2

Chapter 5: Regression in Microsoft Excel

Lecture 1: Multiple Regression in Excel – Part 1

Lecture 2: Multiple Regression in Excel – Part 2

Chapter 6: Conclusion

Lecture 1: Course Conclusion

Instructors

Quantitative Specialists
Specializing in Statistics, Research Design, and Measurement

Rating Distribution

1 stars: 15 votes
2 stars: 37 votes
3 stars: 184 votes
4 stars: 533 votes
5 stars: 529 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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