[Series оf 4 questiоns with the sаme regressiоn]The mаrketing teаm at FitStream, a premium fitness app, is analyzing subscriber retention. They want to predict the probability that a user will renew their annual subscription based on their activity levels. The dependent variable is Renewal (1 if they renewed, 0 if they cancelled). The primary explanatory variable is Average Weekly Workouts (x) recorded over the final three months of their subscription. A logistic regression was performed, and the results are shown in the table below: Variable Estimate (β) Std. Error z-value p-value (Intercept) -2.45 0.52 -4.71 < 0.001 Weekly Workouts (x) 0.68 0.14 4.85 < 0.001 How do interpret the coefficient for weekly workouts? On average, an increase in weekly workout by 1 workout/week is associated with an increase in renewal odds by 1 %, everything else being equal.