Increased mobility of land transportation for humans and goods that cause traffic accidents is inseparable from a negative aspect of human, road geometric, road equipment, and environment. Accidents that occur can cause a problem that must immediately get treatment as it may lead to damage, either in material or unwanted casualties. To see the relationship between the negative aspects of the accident, a linear regression test was conducted. From the results of the analysis, it can be seen that the correlation between dependent variables such as Accident Frequency, EAN (Equivalent Accident Number), Accident Rate (AR), or UCL (Upper Control Limit) and the independent variables, which are road geometric, environmental conditions and supporting facilities shows that the Accident Frequency and EAN produce a strong correlation. For Accident Frequency, the independent variables that influence it are Land Use and Road Pavement, while EAN shows a better correlation with the independent variables that influence it, which are Public Street Lighting, Land Use, and Road Pavement. For the AR and UCL the correlation value shows a moderate relationship, in the sense that when reviewed, the value of the AR and UCL is not good to be associated with the independent variable, as it has a multi-variant independent variable. KEYWORDS: Accident Frequency, EAN, AR, UCL, Regression Analysis