Regression Analysis / Data Analytics in Regression

Rating 4.45 out of 5 (966 ratings in Udemy)

What you'll 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 …

Rating 4.45 out of 5 (966 ratings in Udemy)

What you'll 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

Description

November,2019.

Getmarketable and highly sought after skills in this coursewhilesubstantially increasingyour knowledge of data analytics in regression. All course videos created and narrated by an award winning instructor and textbook authorof 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 statisticalprocedure that isclosely 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 programsprovided. 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 beastonce and for all– enrolltoday!

Duration 2 Hours 58 Minutes

Paid

Self paced

All Levels

English (US)

5288

Rating 4.45 out of 5 (966 ratings in Udemy)

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