Suppose a retail organization wishes to predict the probability that a customer will indicate that they are satisfied with their shopping experience. They will use the independent variable Time in Line (minutes) to create a logistic regression model to predict if a customer is satisfied with their shopping experience. They create a logistic regression model using R, using the commands. Model <- glm(Satisfied ~ WaitTime, data=DataName, family=binomial) summary(Model) The resulting coefficient table is shown below. Variable Estimate of coefficient p-value (intercept) 6 Less than 0.0001 Time in line (minutes) -2 Less than 0.0001 Compute the estimated probability that a customer will indicate that they are satisfied with their shopping experience when Time in line = 3 minutes Question 9 options: 0% 25% 50% 75% 100%