This research centers on assessing and establishing the most optimal levels among environmental conditions within Chemical Engineering Laboratory 11 at the University of Santo Tomas. The assessment of the laboratory's lighting conditions, noise, and temperature levels aims to discern these independent variables' potential impacts or significance on students’ titration experiment results in Chemical Engineering Laboratory 11. To conduct this analysis, Binary Logistic Regression, facilitated using IBM SPSS, was employed for computation and in-depth analysis of the results. The study’s findings illuminate a positive correlation between laboratory conditions and students’ experiment results. Hence, this research emphasizes the importance of how educational institutions should prioritize optimizing laboratory conditions as it highlights the crucial role of the physical learning environment in educational outcomes. This underscores the concept that the physical setting, particularly within educational contexts like laboratories, is more than just a backdrop— it serves as a significant participant in the learning journey. The study recommends further exploration and inventive strategies in designing and maintaining educational facilities. These facilities should not only fulfill essential functional needs but also actively enhance students' learning experience and well-being.