Relationship between Solar Flux and Sunspot Activity Using Several Regression Models

This study examines the correlation and prediction between sunspots solar flux, two closely related factors associated with activity, covering period from 2005 to 2022. The utilizes a combination of linear regression analysis ARIMA method analyze relationship these forecast their values. results reveal significant positive flux. Additionally, suggests that SARIMA model can effectively values both flux for 12-period timeframe. However, it is essential note this solely focuses on does not establish causal relationship. Nonetheless, findings contribute valuable insights into future variations in sunspot numbers, thereby aiding scientists comprehending predicting activity's potential impact Earth. recommends further research explore additional may influence extend enhance accuracy activity predictions investigate alternative methods improve precision forecasts.