Hello,
I am doing multiple linear regression modeling and I was wondering if there is a way to report variance explained by each predictor aside from the variance explained by the entire model. Any help is much appreciated. Also, if there is another linear modeling procedure that can do this and handle multiple predictors that would be helpful too.
Best,
BIg Jer
Variance explained by each predictor ... kind of a meaningless quantity unless you have an orthogonal designed experiment ... which it doesn't sound like you have
Nevertheless, it is the sum of squares for a model term divided by the degrees of freedom for the model term ... again totally meaningless in this situation ... feel free to ignore this value ... or in other words, the question cannot be answered for multiple linear regression unless you have an orthogonal experiment ... you can do the calculations, but you can't assign meaning to the numbers you calculate.
Perhaps you could rephrase the question to indicate something about what question you are trying to answer with these values.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.