In simple linear regression,most often we perform a two-tail test of the population slope β₁ to determine whether there is sufficient evidence to infer that a linear relationship exists.The null hypothesis is stated as: A)H₀: β₁ = 0 B)H₀: β₁ = b₁ C)H₀: β₁ ≠ 0 D)None of these choices.

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The null hypothesis in simple linear regression testing for the slope (β1) typically states that there is no linear relationship between the independent and dependent variables, which is mathematically represented as β1 = 0. This means we are testing against the possibility that the slope is not equal to zero to determine if there is a significant linear relationship.

In Simple Linear Regression,most Often We Perform a Two-Tail Test