Table 5.
Regression analysis predicting diet quality in masters athletics from Poland, France, and Great Britain.
Variable | R2 | β | F | p Value |
---|---|---|---|---|
Model 1: Poland | 0.992 | 645.67 | <0.001 | |
fruits | 0.27 | <0.001 | ||
grains and coarse-ground groats | 0.19 | <0.001 | ||
curd | 0.15 | <0.001 | ||
vegetables | 0.27 | <0.001 | ||
milk | 0.28 | <0.001 | ||
wholemeal bread | 0.25 | <0.001 | ||
white meat | 0.17 | <0.001 | ||
fermented milk beverages | 0.19 | <0.001 | ||
Model 2: France | 0.898 | 29.31 | <0.001 | |
curd | 0.67 | <0.001 | ||
white meat | 0.30 | 0.018 | ||
fruits | 0.28 | 0.027 | ||
Model 3: Great Britain | 0.522 | 9.83 | 0.001 | |
fruits | 0.57 | 0.003 | ||
vegetables | 0.35 | 0.047 |
Multiple step regression, p < 0.05—a statistically significant value.