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. 2023 Sep 19;20:112. doi: 10.1186/s12966-023-01513-2

Table 3.

Regression analyses for proportional pricing on size choice, kcals ordered and money spent for the three food outlets

Estimate Std. error Sig. Odds ratio 95% CI
Lower
95% CI Upper
Size choice 1
Coffee shop beverage size
Pseudo R 2 0.067
Pricing condition (proportional) -0.54 0.13 < 0.001 0.58 0.45 0.75
Sandwich size
Pseudo R 2 0.156
Pricing condition (proportional) -0.23 0.14 0.098 0.79 0.60 1.04
Fast food meal size
Pseudo R 2 0.124
Pricing condition (proportional) -0.07 0.13 0.584 0.93 0.72 1.20
Kcals ordered 2
Coffee shop
Adjusted R 2 0.097
Pricing condition (proportional) -13.75 7.26 0.058 -27.99 0.48
Sandwich shop
Adjusted R 2 0.119
Pricing condition (proportional) -1.77 20.62 0.932 -42.23 38.70
Fast food outlet
Adjusted R 2 0.178
Pricing condition (proportional) 51.25 16.13 0.002 19.59 82.90
Money spent3
Coffee shop spend
Adjusted R 2 0.082
Pricing condition (proportional) 0.21 0.04 < 0.001 0.13 0.29
Sandwich shop spend
Adjusted R 2 0.112
Pricing condition (proportional) 0.78 0.19 < 0.001 0.41 1.16
Fast food outlet spend
Adjusted R 2 0.138
Pricing condition (proportional) 0.57 0.07 < 0.001 0.43 0.70

1Estimates indicate the average change in the log odds of the response variable associated with a one unit increase in each predictor variable, 2 Estimates are in kcals, 3 Estimates in pound sterling