Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: 1 June 2022 through 4 June 2022; 180242; 180242
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 possПоказать полностьюible 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. © 2022 IEEE.
Журнал: 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
Издатель: 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022