Polynomial regression using SPSS 28: Conceptual and practical overview with a single predictor model

This video provides a conceptual and practical overview of polynomial regression using SPSS. I begin with a demonstration using simple linear regression where the assumed functional form between the independent and dependent variable is linear. Next, I demonstrate an approach to graphing data to better visualize non-linearity in your data. I then demonstrate how to use hierarchical regression in order to select the best fitting (and hopefully most parsimonious) model. Finally, I demonstrate an alternate approach using the Curve Estimation function in SPSS.
A copy of the SPSS data used in this video can be downloaded here:
drive.google.com/file/d/1HSTK...
Supplemental powerpoint with models:
drive.google.com/file/d/1odxk...

[@chalobolchalermsri9807]

Hi Mike, I really love your channal. Could you creat your vdo for teaching how to plot HR (95%CI) and continous independent factor, please?

[@marakamila745]

Hi Mike. I want to ask, is it also applicable for multiple independent variables? Because from what I see with the curve estimation method, we can only input 1 independent variable. Should I transform all my variables first into quadratic model, then perform the multiple linear regression? Hope you answer this, thank you.

[@olufemifabusoro309]

Can you use this polynomial regression analysis for categorical variables?

[@mikecrowson2462]

Hi there. This method assumes your predictor is continuous. Best wishes!