Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS); Toronto; Toronto

Год издания: 2022

Идентификатор DOI: 10.1109/IEMTRONICS55184.2022.9795817

Ключевые слова: correlation, data, excel, model, regression analysis

Аннотация: The article studies the influence of external factors on the attendance of the shopping center. It is necessary to isolate the essential traits-factors that determine the attendance of the shopping center (SC) and establish their mathematical dependence with the resulting indicator Thus, in the course of the study, it was made possible to find various data for the construction of a regression model, namely the number of visits to the shopping center «Planet» for October 2017 and various factors such as: whether it was rain or not, the index of weather sensitivity, temperature, wind speed and day of the week, which can affect the visit. The data were formatted to exclude emissions to avoid model inadequacy. Next, a linear regression model was built, on the basis of which it is possible to determine the factors that influence the visits to shopping centers more. If the constructed model is adequate, then it will be possible to draw conclusions on what factors are more worth paying attention to, to determine the peaks of attendance at the SC.

Журнал: 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

Номера страниц: 9795817

Издатель: Institute of Electrical and Electronics Engineers

• Kurashkin S.O. (Bauman Moscow State Technical University)
• Suetin Viktor (Reshetnev Siberian State University of Science and Technology)
• Mikhalev Anton (Siberian Federal University)
• Korostelev Alexander (Reshetnev Siberian State University of Science and Technology)
• Grishko Vladimir (Siberian Federal University)

• РИНЦ (eLIBRARY.RU)