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help > Multivariate regression - assumptions?
Oct 11, 2015 06:10 PM | Jenna Traynor - McMaster University
Multivariate regression - assumptions?
Hello,
I am inquiring about the assumptions of normality and heteroscedasticity of residuals, specifically - when running a multivariate regression using the CONN toolbox, are these assumptions already controlled for in the second-level results?
I have used the toolbox to look at the linear association between 4 clinical variables and FC within a group of subjects. I am wondering if the significant results that I am seeing have normally distributed residuals and if the residuals have equal variances - is there a way for me to extract residuals to examine/plot them or has this already been taking into account?
Likewise - are there any papers that I can reference that explain how CONN toolbox deals with these assumptions?
Many thanks,
Jenna
I am inquiring about the assumptions of normality and heteroscedasticity of residuals, specifically - when running a multivariate regression using the CONN toolbox, are these assumptions already controlled for in the second-level results?
I have used the toolbox to look at the linear association between 4 clinical variables and FC within a group of subjects. I am wondering if the significant results that I am seeing have normally distributed residuals and if the residuals have equal variances - is there a way for me to extract residuals to examine/plot them or has this already been taking into account?
Likewise - are there any papers that I can reference that explain how CONN toolbox deals with these assumptions?
Many thanks,
Jenna
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Title | Author | Date |
---|---|---|
Jenna Traynor | Oct 11, 2015 | |
Alfonso Nieto-Castanon | Oct 11, 2015 | |
Jenna Traynor | Oct 12, 2015 | |
Alfonso Nieto-Castanon | Oct 14, 2015 | |
Shruti Kinger | 22 hours ago | |
Jenna Traynor | Oct 14, 2015 | |
Alfonso Nieto-Castanon | Oct 14, 2015 | |
Jenna Traynor | Oct 26, 2015 | |
Jenna Traynor | Oct 28, 2015 | |