Tipping behavior in Canada. The Consumer Report on Eating Share Trends (CREST) contains data spanning all provinces of Canada and detailing away-from-home food purchases by roughly 4000 households per quarter. Researchers recently restricted their attention to restaurants at which tips would normally be given.
From a total of 73,822 observations, "high" and "low" tipping variables were created based on whether the observed tip rate was above 20% or below 10% respectively. They then used logistic regression to identify explanatory variables associated with either "high" or "low" tips. The following table summarizes what they termed the stereotype-related variables for the low-tip analysis:
|
Explanatory Variable
|
Odds ratio
|
|
Senior adult
|
1.099
|
|
Sunday
|
1.098
|
|
English as second language
|
1.142
|
|
French-speaking Canadian
|
1.163
|
|
Alcoholic drinks
|
0.713
|
|
Lone male
|
0.858
|
All coefficients were significant at the 0.01 level. Write a short summary explaining these results in terms of the odds of leaving a low tip.