Table 5.
Sequential multiple regression analyses predicting square root transformed weekly sales of “Least Healthy” a foods and beverages from FoodMATS scores and facility size
| Predictor | Betaa (95% confidence interval) | Betab (95% confidence interval) | R2 (adjusted) | R2 change (adjusted) | F | |
|---|---|---|---|---|---|---|
| Concession sales (n = 30) | ||||||
| Model 1: | Facility Size | 0.328** | 0.351** | 15.149** | ||
| Number of Sports Areas | 0.593** (2.42–7.79) | 0.517** (1.97–6.94) | ||||
| Model 2: | Marketing Scores | 0.451*** | 0.138* | 12.929*** | ||
| FoodMATS Score | 0.379** (0.03–0.24) | |||||
| Vending sales (n = 23) | ||||||
| Model 1: | Facility Size | 0.184* | 0.221* | 5.960* | ||
| Number of Sports Areas | 0.470* (0.37–4.66) | 0.448* (0.17–4.63) | ||||
| Model 2: | Marketing Scores | 0.156 | 0.012 | 3.038 | ||
| FoodMATS Score | 0.111 (−0.07–0.12) | |||||
| Total (concession and vending sales) (n = 21) | ||||||
| Model 1: | Facility Size | 0.210* | 0.250* | 6.329* | ||
| Number of Sports Areas | 0.500* (1.12–12.16) | 0.505** (1.98–11.42) | ||||
| Model 2: | Marketing Scores | 0.428** | 0.235* | 8.485** | ||
| FoodMATS Score | 0.485* (0.04–0.29) | |||||
a Standardized regression coefficients without marketing scores entered into the regression
b Standardized regression coefficients with marketing scores entered into the regression
*p < 0.05. **p < 0.01. ***p < 0.001