Table 2 Adjusted R squared for multiple linear models using all, uncorrelated, and four available terms
From: Google Health Trends performance reflecting dengue incidence for the Brazilian states
State | Adjusted R squared – All terms model (n) | Adjusted R squared – Uncorrelated terms model (n) | Adjusted R squared – Four terms model (n = 4) |
|---|---|---|---|
Acré (AC) | 0.126 (7) | 0.110 (6) | 0.092 |
Alagoas (AL) | 0.481 (8) | 0.418 (3) | 0.470 |
Amapá (AP) | 0.096 (7) | 0.099 (6) | 0.103 |
Amazonas (AM) | 0.847 (9) | 0.590 (2) | 0.821 |
Bahia (BA) | 0.647 (11) | 0.603 (3) | 0.624 |
Ceará (CE) | 0.839 (10) | 0.746 (3) | 0.812 |
Distrito Federal (DF) | 0.829 (10) | 0.433 (2) | 0.830 |
Espírito Santo (ES) | 0.725 (10) | 0.537 (3) | 0.688 |
Goiás (GO) | 0.785 (11) | 0.660 (3) | 0.768 |
Maranhão (MA) | 0.859 (9) | 0.615 (2) | 0.856 |
Mato Grosso (MT) | 0.573 (9) | 0.453 (3) | 0.559 |
Mato Grosso do Sul (MS) | 0.713 (9) | 0.583 (3) | 0.694 |
Minas Gerais (MG) | 0.923 (12) | 0.718 (4) | 0.919 |
Pará (PA) | 0.600 (9) | 0.277 (2) | 0.596 |
Paraiba (PB) | 0.837 (10) | 0.683 (3) | 0.832 |
Paraná (PR) | 0.845 (12) | 0.741 (4) | 0.821 |
Pernambuco (PE) | 0.819 (10) | 0.714 (2) | 0.808 |
Piauí (PI) | 0.553 (8) | 0.377 (3) | 0.542 |
Rio de Janeiro (RJ) | 0.765 (12) | 0.704 (5) | 0.744 |
Rio Grande do Norte (RN) | 0.890 (9) | 0.706 (2) | 0.891 |
Rio Grande do Sul (RS) | 0.804 (12) | 0.724 (4) | 0.779 |
Rondônia (RO) | 0.568 (9) | 0.415 (4) | 0.544 |
Roraima (RR) | 0.093 (7) | 0.091 (6) | 0.058 |
Santa Catarina (SC) | 0.826 (9) | 0.788 (2) | 0.825 |
São Paulo (SP) | 0.930 (13) | 0.861 (6) | 0.919 |
Sergipe (SE) | 0.308 (8) | 0.216 (3) | 0.300 |
Tocantins (TO) | 0.415 (8) | 0.342 (4) | 0.401 |
Brazil | 0.888 (14) | 0.852 (7) | 0.850 |