The researchers used ridge regression to analyze meteorological data in Sulaimani. Ridge regression is a statistical method that helps solve the problem of multicollinearity in regression models. By comparing the results with ordinary least squares, they found that ridge regression can estimate parameters more accurately and with lower standard error values. This method allows for keeping all correlated variables in the model without deleting any, making it a useful tool for analyzing complex relationships in data.