Question

Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. Coefficients Standard Error Constant 12.924 4.425 x1 -3.682 2.630 x2 45.216 12.560 Analysis of Variance Source of Degrees of Sum of Mean Variation Freedom Squares Square F Regression 4853 2426.5 Error 485.3 Carry out the test to determine if there is a relationship among the variables at the 5% level. The null hypothesis should O be rejected. O not be rejected. O be revised to test for multicollinearity. O test for individual significance instead.

          Below you are given a partial computer output from a multiple regression analysis based on a sample of 16
observations.

Coefficients	Standard Error
Constant	12.924	4.425
x1	-3.682	2.630
x2	45.216	12.560

Analysis of Variance
Source of	Degrees of	Sum of	Mean
Variation	Freedom	Squares	Square	F
Regression		4853	2426.5
Error			485.3

Carry out the test to determine if there is a relationship among the variables at the 5% level. The null hypothesis
should

O be rejected.
O not be rejected.
O be revised to test for multicollinearity.
O test for individual significance instead.

Below you are given a partial computer output from a multiple regression analysis based on a sample of 16
observations.

Coefficients Standard Error
Constant 12.924 4.425
x1 -3.682 2.630
x2 45.216 12.560

Analysis of Variance
Source of Degrees of Sum of Mean
Variation Freedom Squares Square F
Regression 4853 2426.5
Error 485.3

Carry out the test to determine if there is a relationship among the variables at the 5% level. The null hypothesis
should

O be rejected.
O not be rejected.
O be revised to test for multicollinearity.
O test for individual significance instead.

Added by Robert D.

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