Thank you, @PaigeMiller,
in this example, I am setting up for MANCOVA like this:
model a1 a2 a3 = prom | minibal
a1 a2 a3 are the continuous response variables, also known as the dependent variables (DV); because they are multiple, it turns ANOVA into MANOVA
prom is a discrete categorical group variable, an independent variable (IV) on the x-axis, with promotion 'yes' or 'no' levels or factors
minibal is a continuous independent variable, a covariate that confounds the relationship between a-variables and prom, turning MANOVA into MANCOVA*
*I know in SAS blog it is another categorical IV for a two-way ANOVA, but in my example I want it to be a continuous IV, a.k.a. covariate.
By the way, without its categorical IV (that leaves just the covariate IV), ANCOVA turns into linear regression (Check!).
My question is this: Suppose there is another continuous IV, a confounder minibal2. How would I represent it in the model? I read somewhere that SAS can adjust for one confounder at a time for ANCOVA, but I am hoping this is not true or that there is some kind of work-around.
P.S. This site is very helpful: http://www.statsmakemecry.com/smmctheblog/stats-soup-anova-ancova-manova-mancova
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