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Exhibit 13-6 Below You Are Given a Partial Excel Output Based on Based

Question 80

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Exhibit 13-6
Below you are given a partial Excel output based on a sample of 16 observations.
Exhibit 13-6 Below you are given a partial Excel output based on a sample of 16 observations. -Refer to Exhibit 13-6. The estimated regression equation is A) y = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>x<sub>1</sub> + <font face= symbol ></font><sub>2</sub>x<sub>2</sub> + <font face= symbol ></font> B) E(y) = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>x<sub>1</sub> + <font face= symbol ></font><sub>2</sub>x<sub>2</sub> C) = 12.924 - 3.682 x<sub>1</sub> + 45.216 x<sub>2</sub> D) = 4.425 + 2.63 x<sub>1</sub> + 12.56 x<sub>2</sub>
-Refer to Exhibit 13-6. The estimated regression equation is


A) y = 0 + 1x1 + 2x2 +
B) E(y) = 0 + 1x1 + 2x2
C) Exhibit 13-6 Below you are given a partial Excel output based on a sample of 16 observations. -Refer to Exhibit 13-6. The estimated regression equation is A) y = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>x<sub>1</sub> + <font face= symbol ></font><sub>2</sub>x<sub>2</sub> + <font face= symbol ></font> B) E(y) = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>x<sub>1</sub> + <font face= symbol ></font><sub>2</sub>x<sub>2</sub> C) = 12.924 - 3.682 x<sub>1</sub> + 45.216 x<sub>2</sub> D) = 4.425 + 2.63 x<sub>1</sub> + 12.56 x<sub>2</sub>= 12.924 - 3.682 x1 + 45.216 x2
D) 11ec9ead_435e_cdb6_877e_c7e2c94bd808_TB2074_11= 4.425 + 2.63 x1 + 12.56 x2

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