11 Useful Tips for Regression Analysis
11 Useful Tips for Regression Analysis
Duration: 55m 43s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 136 MB
Genre: eLearning | Language: English
Duration: 55m 43s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 136 MB
Genre: eLearning | Language: English
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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11 Useful Tips for Regression Analysis
