This paper reports the existence of interrelationships among technological and operational variables pertaining to paced assembly lines. These variables are average cycle time, average number of workers, average number of work elements per station, average distance between workers, length of line, and average weight of product. The findings in the form of regression equations are based on a mail survey of 254 companies in the United States. The potential value of such equations lies in the fact that they represent empirical yardsticks which a company might use for diagnostic purposes in its own operations. For example, some interesting ‘ballpark’ comparisons might be obtained by a firm by simply inserting actual data into the regression equation for its particular product classification and observing how closely the result approximates the norm. This study was exploratory in nature and suggests several areas for further investigations.