In the developing countries, diabetes has become one of the most indicating public health challenges. It imposes a big economic impact on the society. The Bangladeshi people hardly understand the risk factors that causes diabetes. This study mainly aims to explore the potential risk factors behind this disease through some popular statistical analysis approaches. In this regard, a field survey was conducted on the diabetes patients in Dhaka city. The analysis involves binary logistic regression, negative binomial regression, and multinomial logistic regression model according to the nature of the data. The variables family history, height, weight, gender, age, food with high cholesterol, no exercise, taking alcohol/cigarettes, hypertension, and eye problem are found significant in this study. In addition, the count data related to the number of time(s) a patient checks blood glucose level is also analyzed and interpreted. From the overall findings, the study suggests to become extra careful of the disease who have already diabetes patient(s) in the family. Increased height and losing weight have good advantages to reduce the risk of diabetes. Avoiding high cholesterol food and cigarettes/alcohol is a wise decision in this regard. The lower risk of diabetes depends on regular exercising and controlling hypertension. The adults and the obese people are more serious of checking their blood glucose level. Educated persons are also careful of this matter. Since most of the risk factors for diabetes are preventable, efforts should be taken by the Government to better understand of these factors to the public.