I used 7 predictor variables in a regression model with a sample size of 103. Someone who reviewed my manuscript said that was too many predictors.
I thought the rule of thumb was that you should use no more than 1 predictor variable for every 10 observations. For example, no more than 5 predictors where N=50.
I have to defend my model to the reviewer. Does anyone know of a book or article I can reference regarding the appropriate number of predictors to use relative to sample size??
Thanks!!
I thought the rule of thumb was that you should use no more than 1 predictor variable for every 10 observations. For example, no more than 5 predictors where N=50.
I have to defend my model to the reviewer. Does anyone know of a book or article I can reference regarding the appropriate number of predictors to use relative to sample size??
Thanks!!