Selection of a computer system which meets the necessary requirements is a complicated process. The overall satisfaction derived from a system depends on many variables. This case study analyzes the influence of thirteen predictor (independent) variables on overall satisfaction as determined by multiple regression. The null hypothesis that multiple correlation coefficient is zero was rejected. Certain variables had more influence than the others and the effect of eliminating few variables from the analysis was studied. The variables were rank ordered according to their regression coefficients.
|Original language||English (US)|
|Number of pages||18|
|Journal||AMSE Review (Association for the Advancement of Modelling and Simulation Techniques in Enterprises|
|State||Published - Dec 1 1984|
ASJC Scopus subject areas