Understanding Correlation and Regression Analysis for Non-Technical Audiences | Research Beast

Understanding Correlation and Regression Analysis for Non-Technical Audiences | Research Beast
What is correlation and regression analysis?
Are you a researcher or a PhD student struggling to grasp the concepts of correlation and regression analysis? If so, this video is for you! In this tutorial, we'll explain the basics of correlation and regression analysis using simple and non-technical terms.
We'll start by defining what correlation and regression analysis are and how they differ from each other. Then, we'll use real-world examples to illustrate the use of these statistical techniques in research. We'll show you how to interpret correlation coefficients and regression equations, and how to determine if your findings are statistically significant.
This video is perfect for anyone who needs a beginner's guide to correlation and regression analysis, whether you're just starting out in research or need a refresher. By the end of this video, you'll have a solid understanding of these important statistical techniques and how to apply them in your research.
#correlation #regression #correlationanalysis #regressionanalysis #researchbeast
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[@peerzadamunaqib7299]

Nicely explained. I have a reqt could you please upload a video explaining how to correct the issues in EFA(like only few factors getting extracted due to eigen value less than 1 and how to correct that and also some items of a construct loading in different factors)

[@ResearchBeast]

Sure. Will do. Please help me sharing this video further

[@peerzadamunaqib7299]

@@ResearchBeast Will share with my fellow scholars

[@TheFurkanArasli]

Thank you for the video !

[@ResearchBeast]

Thank you. Please help me sharing it further

[@sanabutt2571]

Great information..I want to ask some questions.. How do we interpret the coefficients and p-values in a regression analysis? What are some common assumptions made in regression analysis? What is the difference between correlation and causation?