(Solved): In simple linear regression, most often we perform a two-tail test of the population slope \( \bet ...

In simple linear regression, most often we perform a two-tail test of the population slope \( \beta_{1} \) to determine whether there is sufficient evidence to infer that a lineat relationship exists. The null hypothesis is stated as: A. \( H_{0}: \beta_{1}=r \) B. \( H_{0}: \beta_{1}=0 \) C. \( H_{0}: \beta_{1}=\rho_{5} \) D. \( H_{0}: \beta_{1}=b_{1} \) The symbol for the population coefficient of correlation is: A. \( \rho^{2} \) B. \( r \) C. \( r^{2} \) D. \( \rho \)