In Simple Linear Regression, Most Often We Perform a Two-Tail $$\beta _ { 1 }$$

Multiple Choice

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 linear relationship exists. Which of the following best describes the null and alternative hypotheses needed for a test of significance?

A) Ho: β₀ = 0
H_A: β₀ ≠ 0
B) Ho: β₁ ≠ 0
H_A: β₁ = 0
C) Ho: β₀ = 0.
H_A: β₀ ≠ 0
D) Ho: β₁ = 0
H_A: β₁ ≠ 0.