Boost Your Research Game! 🔥 Multiple Regression in JASP Made EASY!

This video provides a comprehensive introduction to Linear Multiple Regression using the user-friendly statistical software JASP 0.19.

In this first part, we will cover:

What is Multiple Regression?
Understand the core concepts of multiple regression analysis and how it differs from simple linear regression.
Learn how to predict a continuous outcome variable based on multiple predictor variables simultaneously.

Running the Multiple Regression Analysis in JASP:
A step-by-step guide on how to perform multiple regression analysis within the JASP environment.
Learn how to specify the dependent and independent variables.

Interpreting the Regression Output:
Understand and interpret the key output tables, including:
Coefficients table (regression coefficients, standard errors, t-values, p-values)
Model summary (R-squared, adjusted R-squared)
ANOVA table (F-statistic, significance of the model)
Learn how to assess the overall model fit and the significance of individual predictors.

This video is designed for:

Beginners in statistics and data analysis
Students and researchers who need to learn multiple regression for their work
Anyone interested in learning how to use JASP for statistical analysis
By the end of this video, you will be able to:

Understand the fundamental principles of multiple regression analysis
Perform multiple regression analysis using JASP 0.19
Interpret the results of a multiple regression analysis

Stay tuned for Part 2 of this series.

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