I have data on 70 out of 130 projects completed in one firm. What is the correct way to think about the the standard errors in regression analysis, if I want to generalise to the firm? 1. Adjust with the FPC factor since a large portion of the population is covered. 2. Do not adjust with the FPC factor since it is the potential number of projects started by the firm that constitute the "true" population.
Alternative 2 is safer and more conservative, but it also seems a bit too hard since the large n/N ratio should count for something. I would also appreciate it if somebody has references on this subject. Finally does anyone have the formula for adjusting the F-test in standard OLS regression models for a finite population? Regards, Mats Lingblad LBS London . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
