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 Is