In the first-order linear regression model, the population parameters of the y-intercept and the slope are:
A. $b_0 \mbox{ and } b_1$
B. $\beta_0 \mbox{ and } \beta_1$
C. $\beta_1 \mbox{ and } b_0$
D. $b_1 \mbox{ and } \beta_0$

If we are interested in determining whether two variables are linearly related, it is necessary to:
A. perform the t-test of the slope $\beta_1$
B. perform the t-test of the coefficient of correlation $\rho$
C. either A or B since they are identical
D. calculate the standard error of estimate, $s_\epsilon$