Multiple choice question based on multiple regression1

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Reference no: EM13357624

Multiple choice question based on multiple regression.

1. Below you are given a partial computer output based on a sample of 16 observations.

Coefficient Standard Error

Constant	12.924	4.425
X1	-3.682	2.630
X2	45.216	12.560

Analysis of Variance

Source of Variation	Degrees of Freedom	Sum of Squares	Mean Square	F
Regression		4,853	2,426.5
Error			485.3

The estimated regression equation is

Y = b0 + b1X1 + b2X2 + e

E(Y) = b0 + b1X1 + b2X2

= 12.924 - 3.682 X1 + 45.216 X2

= 4.425 + 2.63 X1 + 12.56 X2

2. A regression model involving 4 independent variables and a sample of 15 periods resulted in the following sum of squares. SSR = 165; SSE = 60. The coefficient of determination is

1. 0.3636
2. 0.7333
3. 0.275
4. 0.5

Reference no: EM13357624

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