## 4 Results  
The values for each study year were obtained from the calculations performed on the multiple linear regression models. They are reflected in Appendix A, in Tables A1-A4, and the equations of the calculated models are shown in Appendix B, in Tables A5-A7, for the respective study years 2014, 2015, 2016, and 2017. In almost all the calculations performed, even after eliminating outlier residuals, the model included several pollen concentration variables. They are the ones that, in general, have best explained the resulting model relative to the other types of independent variables. Accordingly, some observations can be made:  
1. In the models calculated, \(p\)-values of less than 0.05 were obtained, with a confidence level of 95%. In fact, in all of them, the \(p\)-values were \(<\)0.0001, which implies that all the models are explanatory, i.e., that there is a statistically significant relationship between the independent variables and the dependent variable in every one of the calculations performed. 2. The adjusted R\({}^{2}\) value is, in most of the calculations performed for allergic conjunctivitis, higher than 30%, and is so in all those performed for allergic rhinitis. Only 5 of the 22 models calculated for 2014 (Table A1) present values of adjusted R\({}^{2}\) lower than 30%. Moreover, these occur in the stations of Alcobendas, Aranjuez, Coslada, Las Rozas, and Collado Villalba. As for 2015 (Table A2), six models have poor fits (in Aranjuez, Coslada, Madrid Barrio de Salamanca, Leganes, Las Rozas, and Collado Villalba). Only statistically non-significant models were obtained for 2017 (Table A4) for the Las Rozas and Collado Villalba stations, as well as for 2016 (Table A3) in those same stations, in addition to Coslada. Of the 88 models, 72 were calculated to have adjusted R\({}^{2}\) values higher than 30%. 3. In summary, in 16 of the 44 total regression calculations performed for allergic conjunctivitis, the fits achieved are of low intensity (adjusted R\({}^{2}\)\(<\) 30%). In contrast, all the models performed with allergic rhinitis fit well for the four years of study. Therefore, allergic conjunctivitis can be considered worse when related to the independent variables than allergic rhinitis; it also provides worse adjusted R\({}^{2}\) values. 4. The models calculated for allergic rhinitis obtained the highest adjusted R\({}^{2}\) values. For the year 2014, the highest value of adjusted R\({}^{2}\) was 93.5469%, and it was given for the Madrid Ayuratamiento station. In the same year, the lowest value of this coefficient was 68.8893%, and it was given for the Collado Villalba station (Table A1). As for the year 2015 (Table A2), the value of 95.6993%, the highest for adjusted R\({}^{2}\), corresponded to the Madrid Ayuratamiento station again (in fact, it is the highest for allergic rhinitis in the whole period and the highest obtained from this study for the two dependent variables). The lowest value for 2015 was 50.4156%, again for Collado Villalba. For 2016, the highest value of the multiple regression coefficient was 81.5532%, thus time for Madrid Barrio de Salamanca station, and the lowest value was 38.4723%, for the Coslada area (Table A3). Finally, for 2017, the most significant adjusted R\({}^{2}\) value was 93.0111% for the Leganes station, and the lowest, 35.2626%, was for the Madrid Facultad de Farmacia area. This is the lowest adjusted value for allergic rhinitis in this study. 5. Regarding allergic conjunctivitis, the highest adjusted R\({}^{2}\) values in the different years are 42.0507% for the year 2014, corresponding to the Alcala de Henares station (Table A1); 42.2195% for the year 2015 (Table A2) and for the Getafe station; 62.6635% (the highest value for allergic conjunctivitis in this study) for the year 2016 and the Madrid Barrio de Salamanca area (Table A3); and 45.2764% for the year 2017, corresponding to the Madrid Facultad de Farmacia station (Table A4).