This study aims to find the best indicators representing higher education
components using the method of multivariate statistical analysis represented in a manner
factor analysis, and create a mathematical model that connects the principal componen
ts
representing higher education and the rate of economic activity in Syria using multi- linear
regression analysis. A descriptive analytical approach is used in this study. The most
important results obtained state that the principal components that belong to higher studies
and intermediate institutes have a positive impact on the rate of economic activity of
manpower, whereas principal components that belong to students of state universities and
higher institutes have a negative impact on the rate of economic activity.