11 Useful Tips for Regression Analysis/ with Franz Buscha.

Format:

Video

Author/Creator:

Buscha, Franz, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Video recordings.

Physical Description:

1 online resource

polychrome

Place of Publication:

Carpenteria, CA: linkedinchescom, 2021.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Pluginches JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Move past the basics of regression analysis and learn how to build models for prediction and forecasting, and for inferring causal relationships between variables.

If you need to sort through information to gain insights or make data-driven decisions, regression analysis is a helpful tool in almost any circumstance. On the most basic level, regression analysis reveals relationships between a dependent variable and a collection of independent variables in a fixed dataset. This is crucial for predicting and forecasting, and also helpful for inferring causal relationships between variables. In this course, Franz Buscha moves beyond the basics, showcasing several prominent tips and tricks that will allow you to not only build better regression models, but also present your results in a more impactful way. Through use of practical examples, Franz covers topics like weighted regressions, polynomial variables, and how to deal with missing data in your regression models.

Participant:

Presenter: Franz Buscha

Notes:

1/04/2021

Access Restriction:

Restricted for use by site license.