TABLE 5.
Final multiple linear regression models for Semantic VFT.
Categories | B | Std. error | β | t | Sig. | Adjusted R2 | |
Animals | (Intercept) | 18.984 | 0.350 | 54.171 | <0.001 | 0.319 | |
Age | –0.065 | 0.016 | –0.225 | –3.990 | <0.001 | ||
Age2 | –0.003 | 0.001 | –0.191 | –3.363 | 0.001 | ||
Education | 0.429 | 0.054 | 0.374 | 7.976 | <0.001 | ||
Fruits | (Intercept) | 17.040 | 0.302 | 56.485 | <0.001 | 0.254 | |
Age | –0.015 | 0.012 | –0.072 | –1.220 | 0.223 | ||
Age2 | –0.003 | 0.001 | –0.343 | –5.716 | <0.001 | ||
Education | 0.165 | 0.041 | 0.201 | 4.058 | <0.001 | ||
Sex | –1.585 | 0.369 | –0.210 | –4.302 | <0.001 | ||
Mean S-VFT | (Intercept) | 17.695 | 0.265 | 66.860 | <0.001 | 0.332 | |
Age | –0.038 | 0.012 | –0.171 | –3.072 | 0.002 | ||
Age2 | –0.003 | 0.001 | –0.301 | –5.333 | <0.001 | ||
Education | 0.286 | 0.041 | 0.327 | 7.036 | <0.001 |
VFT = Verbal Fluency Test.