which is an effective method of modelling latent models why does latent variable modelling increase regression which model is based on manifest or latent why is my r squared up when I do latent variable modelling? why does latent variable modelling tend to push r squared up why does latent variable modelling push r squared up? why is the r squared on manifest variables always higher why does r squared increase for manifest variables why does latent variable modelling push up the r squared why is a latent variable more r squared what is r squared for in regression? why does a manifest variable push r squared up what is latent variable modelling? when using multiple regression what does the r squared increase? why does latent variable mean regression why does latent variable modelling tend to push r squared up what makes r squared higher why does logistic regression push r squared up why does latent variable modelling push r squared up? why does latent variable modeling cause increased r squared?