Online Food Ordering Activity

The study hypothesizes that frequent OFO usage may correlate with higher BMI levels due to food choices and ordering convenience and that factors like impulsive decision-making, tech-savviness, promotional offers, and convenience are key drivers of OFO frequency.

Additionally, it proposes that frequent and infrequent users exhibit distinct behaviors, with frequent users more aware of nutritional quality and infrequent users citing cost concerns as a barrier. The dataset contains 343 records with columns covering demographics, health, economic factors, and behavioral motivations for OFO, as well as preferred platforms. Key findings show a weak positive association between OFO frequency and obesity (p-value = 2.43e-7, coefficient = 0.28), and classification models such as Random Forest achieve 81% accuracy in predicting frequent users, identifying convenience, variety, and promotional discounts as top motivators.