Suppose you use R to calculate a logistic regression model to predict the probability that a customer churns (yes or no). We use the variable Churn, which has values 0 or 1, where 0 represents "does not churn" and 1 represents "does churn."

We use an independent quantitative variable X.

Model <- glm( Churn ~ X, family=binomial, data=BronlynsData)

summary(Model)

	Estimate of coefficient	p-value
(intercept)	-2	Less than 0.0001
X	0.5	Less than 0.0001

When X = 8, the probability that a customer churns equals _____ %.

If applicable, keep at least 1 decimal place in all intermediate calculations, and you may round your final answer to the nearest whole number.

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