Quality tests applied to hydraulic concrete such as compressive, tension and bending strength are used to guarantee proper characteristics of materials. All these assessments are performed by Destructive Tests (DTs). The trend is to carry out quality analysis using non-destructive tests (NDT) as has been widely using for decades ago. This paper proposes a framework for predicting concrete compressive strength and Modulus of Rupture by combining data from four NDT i.e., Electrical Resistivity, Ultrasonic Pulse Velocity, Resonant Frequency and Hammer Test Rebound with DTs data. The model calculated by the multiple linear regression produces accurate predictions of indicators and categorizes the importance of each NDT. However the model is identified from all the possible linear combinations of the available NDT, and, it was selected using a cross-validation technique. Furthermore, the generality of the model is assessed by testing it on objects that were not seen during the creation and selection of the model.