Mô tả

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!

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Nội dung khoá học

6 sections

Introduction

6 lectures
Introduction
05:58
Correlation - Part 1
06:47
Correlation - Part 2
07:38
Correlation With More Than Two Variables - Excel
04:28
Correlation with More than Two Variables - SPSS
05:24
Correlation
4 questions

Simple Regression - One Predictor (or IV)

4 lectures
Simple Regression - Example 1 (Part 1)
10:26
Simple Regression - Example 1 (Part 2)
06:46
Simple Regression - Example 2
11:22
Simple Regression
4 questions

Multiple Regression - 2+ Predictors (IVs)

5 lectures
Multiple Regression - Part 1
06:42
Multiple Regression - Part 2
09:03
Finding Predicted Values - Part 1
07:24
Finding Predicted Values - Part 2
09:18
Multiple Regression
6 questions

Hierarchical Regression - 2+ Predictors (with order of entry)

3 lectures
Hierarchical Regression - Part 1
11:08
Hierarchical Regression - Part 2
09:15
Hierarchical Regression
4 questions

Regression in Microsoft Excel

2 lectures
Multiple Regression in Excel - Part 1
06:41
Multiple Regression in Excel - Part 2
09:36

Conclusion

1 lectures
Course Conclusion
01:15

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