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:

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.