Final answer:
The better predictor of season ticket renewal in the logistic regression model can only be determined by comparing the predictive strengths of price per ticket and number of tickets.
Step-by-step explanation:
When considering all properties of the logistic regression model, if price per ticket and number of tickets have the exact same predictive strength in this model, then both attributes can be considered equally good predictors of season ticket renewal. However, if price per ticket and number of tickets do not have the exact same predictive strength, then the attribute with the higher predictive strength would be the better predictor of season ticket renewal.
Price per ticket and number of tickets can be compared by calculating their respective coefficient estimates and comparing their values. The attribute with a higher coefficient estimate would indicate a stronger predictive strength in the logistic regression model, and therefore, would be a better predictor of season ticket renewal.
In conclusion, the better predictor of season ticket renewal in the logistic regression model can only be determined by comparing the predictive strengths of price per ticket and number of tickets.