[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: Metric Value Log-Likelihood -145.22 R-Squared 0.184 Adjusted R-Squared 0.162 Mean Squared Error (Brier Score) 0.128 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 If the true coefficient for Weekly Workouts (x) is 0, what is the probability that we have an estimate with an absolute value of 0.68 or larger by chance in a sample?