Aerobic endurance describes the ability of the body’s cardio-respiratory system to perform physical activity for an extended period of time and resist fatigue. Standard tests to determine aerobic endurance involves measuring the maximum volume of oxygen (VO₂max) an athlete uses up while exercising at maximal capacity. Given that the tests of direct measurement of VO₂max needs expensive equipment, a great deal of time, and trained staff with expertise, many researchers have attempted to find indirect and simpler ways of predicting VO₂max based on prediction equations. The aim of this study is to establish new prediction equations for estimating the VO₂max from gender, age, height, weight, body mass index (BMI), maximal heart rate (HRmax) and test time (TT) for college-aged students in Turkey.  Particularly, 18 students from the College of Physical Education and Sports at Gazi University volunteered for this study. Gender has been used as a common predictor variable in all prediction models. By using different combinations of the rest of predictor variables together with the common predictor variable, twelve VO₂max prediction equations have been established with the help of Multiple Linear Regression (MLR). The performance of the prediction equations have been evaluated using two well-known metrics, namely standard error of estimate (SEE) and multiple correlation coefficient (R). The results reveal that the regression equation, VO₂max = - (12.331 x gender) - (0.805 x age ) + (0.883 x height) - (1.167 x weight) - (0.052 x HRmax) - (0.158 x TT) + 6.473, gave the lowest SEE (i.e. 3.49 mL kg^-1 min^-1) and the highest R (i.e. 0.88). Application of this VO₂max regression equation on an independent validation group including 6 subjects yielded an SEE of 6.24 mL kg^-1 min^-1. It can be concluded that in situations where it is difficult or even not possible to measure VO₂max using exercise tests, coaches and trainers may use the given equation to predict VO₂max of College of Physical Education and Sports students with acceptable error rates.