The process of producing and designing good asphalt mixtures based on specifications and standards is not an easy or simple process. In the Hashemite Kingdom of Jordan, asphalt mixtures are designed using Marshall Design Method. Many tests are made to ensure the quality of the asphalt that is used to base highways like the Stability, Flow, Specific Gravity, Air Voids and Voids in the Mineral Aggregate (VMA). In this study, 142 asphalt mixed samples were used with different amounts of the contents of the mixture (Asphalt Cement, Fine Aggregate, Course Aggregate and Filler) in which 71 samples of the Wearing layers and 71 samples of the Binder layer were already tested as actual data and validated the by SPSS Computer Software to determine the predicted models to estimate the actual data for management process. The dependent variables are (Stability, Flow, Specific Gravity, Air Voids and Voids in the Mineral Aggregate (VMA). The independent variables are (Asphalt Cement, Fine Aggregate, Course Aggregate and Filler). The Correlation Coefficient (R2) of each dependent variables were determined. The (R2) for Specific Gravity is (59.8 %), for Air Voids are (76.2 %), for Stability is (74.9 %), for Flow is (90.3 %) and for VMA is (61.0 %) respectively. A Flow Management Diagram was designed for Actual and Predicted results based on the adjustment factor for each dependent variable. Key Words Flow, Specific Gravity, Air Voids, Stability, Voids in the Mineral Aggregate (VMA), Variance Inflation Factor (VIF), Hot Mix Asphalt Cement (HMAC), Asphalt Mixed, Marshall Test.