why is it a good idea to label a factor random why do scientists consider random and fixed factors different why are factors labeled random what is the difference between a fixed random factor and a variable variable why is a factor random why are random variables used in mixed model estimation why is random factor labeled as fixed why is it necessary to label factors random what is the difference between a fixed and random factor why should random factors be labeled as a variable? why is it desirable to label variables as random what is the function of random inference in model selection why are random effects in mixed model why are random and fixed factors used in mixed models? when a variable is considered random, the bias-variance tradeoff will decrease. the model is why is random bias more useful what is the upside of labeling a factor random why is it important to label a factor as random what is the role of a fixed random effect in a mixed model in r which factor is randomly labeled