Hello,

In Factor Analysis,we aim to get some variables not in the data(factors) which explain the other variables that are present.

How are these factors then interpreted.For example say I do a factor analysis on a dataset having 500 variables and end up with 8 factors which explains the maximum variance in the data.

How are these then interpreted?Do we use these factors (say in a linear regression) in place of the variables.

If yes then how do we interpret the results?