Much work has been done on making and perfecting agent-based simulations on child safety measures in cars. These simulations, using different algorithms, try and predict what factors are responsible for propagation of knowledge about child safety measures in a society. One of the biggest factors being over-looked in these simulations is validity. In absence of validation, these models may not be a true representation of a real world scenario and the trends predicted are questionable. This paper proposes a system design using regression analysis and predictive data mining on a survey done in the field of child safety measure. Using the result of this data mining process in form of a decision tree, we can initialize our agent-based model with data from the survey and later validate our model comparing the results to the survey.