Control for all variables when predicting for a continuous outcome
Simultaneous regression is the same as multiple regression. All variables are entered into the model at the same time with simultaneous regression. The beta coefficients and change in R-squared are interpreted, given that the statistical assumptions of normality, linearity, and homoscedasticity for the model are met. In simultaneous regression, each predictor variable controls for all other variables in the interpretation of R-squared and beta coefficients. Click on the Multiple Regression button below to learn how to conduct simultaneous regression in SPSS.
Hire A Statistician
DO YOU NEED TO HIRE A STATISTICIAN?
Eric Heidel, Ph.D., PStat will provide the following statistical consulting services for undergraduate and graduate students at $100/hour. Secure checkout is available with Stripe, Venmo, Zelle, or PayPal.
- Statistical Analysis
- Research Design
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics