Suppose we create a linear regression model in R using the command Model |t|) (intercept) 698 0.0051 ** X 18 0.0002 ***

Suppose we create a linear regression model in R using the command Model <- lm(Y ~ X, data=NameOfData) summary(Model) We are given the output below. For the trend line Predicted Y = b0 + b1(X), the intercept of the trend line is b0 = ________ The values below are from the coefficients table. Coefficients: Variable Estimate Pr(>|t|) (intercept) 698 0.0051 ** X 18 0.0002 ***