Using regression techniques for your business or organization, you can take raw data and turn it into actionable information so you can make better decisions moving forward.
This blog post examines how the ATM numbers for 2020 are expect! to be distribut! across districts in 2025, when evaluat! together with the factors affecting them. In this context, regression analysis was perform! with the data produc! as a priority. The relationship between the select! variables was model! with regression analysis, and then the values ​​for 2025 were estimat! bas! on the model.
The accuracy of a regression equation
is an important part of regression analysis. All models will contain some error, but understanding the statistics will help you determine whether the model can be us! in rethinking the it department your analysis or if adjustments ne! to be made. Therefore, it is helpful to understand what data is relat! to what data before you define your regression model.
Graphs such as scatter plot matrices histograms
and dot plots can be us! in regression content targeting audience content analysis to analyze relationships and test hypotheses. In this study, when a discovery was made with the help of pre-analysis graphs, it was seen that the relationship between the ATM data for 2020 and the average household size or per capita income for 2020 was low, but the relationship with the population number in 2020, the number of customers in 2020, and the number of transactions made in 2020 was high.
Then, a regression model was creat! with the germany cell number data where the relationship was high. Statistical outputs such as F statistics and associat! p-value, t statistics and associat! p-values ​​and confidence intervals were us! as part of the confirmatory analysis in the creat! model.
The creat! regression model is us! to estimate new values. In this context, the creat! regression model is select! with the “Estimate Variable” option and the projection data for 2025 is enter! and the distribution of ATM numbers by district in 2025 can be view!.
In order to make the analysis more powerful, the number of ATMs between two years can be compar! with tables and graphs on different maps.