11 Useful Tips for Regression Analysis

11 Useful Tips for Regression Analysis

with Franz Buscha
Electronic Video - 2021

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

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Detalles Bibliográficos
Autor Corporativo: linkedin.com (Firm)
Otros Autores: Buscha, Franz (Orador)
Formato: Electrónico Video
Lenguaje:English
Publicado: Carpenteria, CA linkedin.com, 2021.
Materias:
Acceso en línea:View course details on linkedin.com/learning

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