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Multivariable Linear Regression in SPSS (SPSS Tutorial Video #26)
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In this video, I explain how to conduct a multivariable linear regression in SPSS. I walk through the key assumptions that need to be checked, most critically, heteroskedasticity. I also show you how to interpret all the results including standardized and unstandardized beta coefficients. I also discuss how you can avoid Type 1 Error (False Positives) by using a Bonferroni Correction.
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
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This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
Follow me at:
Equipment Used for Filming:
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