Suppose you create the model below, where log(X) represents the natural log of X. log( Y ~ log(X), data=BronlynsExamData) We use the predict() command in R to calculate the 95% confidence interval for a new observation when X = 10. We obtain the output below: fit lwr upr 5 4.5 5.5 Assuming that this model satisfies all the theoretical assumptions of linear regression, then when X=10, there's a 95% chance that Y will be between _______. Question 8 options: 4.5 and 5.5 45 and 55 e^(4.5) and e^(5.5) log(4.5) and log(5.5)