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Exhibit 13-4
A β\beta 0 β\beta 1x1 β\beta 2x2 ε\varepsilon B
E(y) =

Question 44

Multiple Choice

Exhibit 13-4
a.
y = β\beta 0 + β\beta 1x1 + β\beta 2x2 + ε\varepsilon
b.
E(y) = β\beta 0 + β\beta 1x1 + β\beta 2x2
c. Exhibit 13-4 a. y =  \beta <sub>0</sub> +  \beta <sub>1</sub>x<sub>1</sub> +  \beta <sub>2</sub>x<sub>2</sub> +  \varepsilon  b. E(y)  =  \beta <sub>0</sub> +  \beta <sub>1</sub>x<sub>1</sub> +  \beta <sub>2</sub>x<sub>2</sub> c. = b<sub>o</sub> + b<sub>1</sub> x<sub>1</sub> + b<sub>2</sub> x<sub>2</sub> d. E(y)  =  \beta <sub>0</sub> +  \beta <sub>1</sub>x<sub>1</sub> +  \beta <sub>2</sub>x<sub>2</sub> -Refer to Exhibit 13-4. Which equation gives the estimated regression line? A) equation a B) equation b C) equation c D) equation d = bo + b1 x1 + b2 x2
d.
E(y) = β\beta 0 + β\beta 1x1 + β\beta 2x2
-Refer to Exhibit 13-4. Which equation gives the estimated regression line?


A) equation a
B) equation b
C) equation c
D) equation d

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