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How to perform a simple linear regression analysis using SPSS Statistics. It explains when you should use this test, how to test assumptions, and a step-by-step guide with screenshots using a relevant example.
We'll answer these questions by running a simple linear regression analysis in SPSS. Create Scatterplot with Fit Line. A great starting point for our analysis is a scatterplot. This will tell us if the IQ and performance scores and their relation -if any- make any sense in the first place.
Learn, step-by-step with screenshots, how to run a multiple regression analysis in SPSS Statistics including learning about the assumptions and how to interpret the output.
This tutorial walks you through a complete multiple regression analysis in SPSS: Data Checks and Descriptive Statistics; SPSS Regression Dialogs; SPSS Multiple Regression Output; Multiple Regression Assumptions; APA Reporting Multiple Regression; Read more...
Let’s examine the output from this regression analysis. As with the simple regression, we look to the p-value of the F-test to see if the overall model is significant. With a p-value of zero to three decimal places, the model is statistically significant.
Are there any outliers? Should you specify any missing values? inspect a scatterplot for each independent variable (x-axis) versus the dependent variable (y-axis). Do you see any curvilinear relations or anything unusual? run descriptive statistics over all variables.
Dec 21, 2020 · Learn Regression Analysis Using SPSS - Analysis, Interpretation, and Reporting. The video discusses in detail 00:00 - Channel Introduction00:13 - The Concept...
