Using a sample of 63 observations, a dependent variable Y is regressed against two variables X₁ and X₂ to obtain the fitted regression equation Y = 76.40 - 6.388X₁ + 0.870X₂. The standard error of b₁ is 3.453 and the standard error of b₂ is 0.611. At α = .05, we could: A)conclude that both coefficients differ significantly from zero. B)reject H₀: β₁ ≥ 0 and conclude H₀: β₁ 0. D)conclude that Evans' Rule has been violated.

Question

Using a sample of 63 observations, a dependent variable Y is regressed against two variables X₁ and X₂ to obtain the fitted regression equation Y = 76.40 - 6.388X₁ + 0.870X₂. The standard error of b₁ is 3.453 and the standard error of b₂ is 0.611. At α = .05, we could: A)conclude that both coefficients differ significantly from zero. B)reject H₀: β₁ ≥ 0 and conclude H₀: β₁ < 0. C)reject H₀: β₂ ≤ 0 and conclude H₀: β₁ > 0. D)conclude that Evans' Rule has been violated.

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The Answer of Using a sample of 63 observations, a dependent variable Y is regressed against two variables X₁ and X₂ to obtain the fitted regression equation Y = 76.40 - 6.388X₁ + 0.870X₂. The standard error of b₁ is 3.453 and the standard error of b₂ is 0.611. At α = .05, we could: A)conclude that both coefficients differ significantly from zero. B)reject H₀: β₁ ≥ 0 and conclude H₀: β₁ < 0. C)reject H₀: β₂ ≤ 0 and conclude H₀: β₁ > 0. D)conclude that Evans' Rule has been violated.

Using a Sample of 63 Observations, a Dependent Variable Y