Suppose we created a model in R using the commands below. Please note that this is not a real data set, so if you try to run these codes in R you will receive an error message.\ \ Model <- lm(log(Y) ~ X, data=DataName)\ \ summary(Model)\ \ Suppose we get the following coefficients table:\ \ Estimate Std. Error t value Pr(>|t|)\ (intercept) 0.4 0.46 0.87 0.384\ log(X) 1.2 0.03 40 <2e-16\ We can simplify the model to: \ \ Question 5 options:\ \ Predicted Y = 1.49 * (1.2)^X\ \ \ Predicted Y = 0.4 * (1.2)^X\ \ \ Predicted Y = 1.49 * (3.32)^X\ \ \ Predicted Y = 0.4 * (3.32)^X