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Exhibit 15-8 The Following Estimated Regression Model Was Developed Relating Yearly Income

Question 15

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Exhibit 15-8
The following estimated regression model was developed relating yearly income (y in $1,000s) of 30 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female) . Exhibit 15-8 The following estimated regression model was developed relating yearly income (y in $1,000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female) . = 30 + 0.7x<sub>1</sub> + 3x<sub>2</sub> Also provided are SST = 1,200 and SSE = 384. -The least squares criterion is A) min B) min C) min D) min = 30 + 0.7x1 + 3x2
Also provided are SST = 1,200 and SSE = 384.
-The least squares criterion is


A) min Exhibit 15-8 The following estimated regression model was developed relating yearly income (y in $1,000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female) . = 30 + 0.7x<sub>1</sub> + 3x<sub>2</sub> Also provided are SST = 1,200 and SSE = 384. -The least squares criterion is A) min B) min C) min D) min
B) min Exhibit 15-8 The following estimated regression model was developed relating yearly income (y in $1,000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female) . = 30 + 0.7x<sub>1</sub> + 3x<sub>2</sub> Also provided are SST = 1,200 and SSE = 384. -The least squares criterion is A) min B) min C) min D) min
C) min Exhibit 15-8 The following estimated regression model was developed relating yearly income (y in $1,000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female) . = 30 + 0.7x<sub>1</sub> + 3x<sub>2</sub> Also provided are SST = 1,200 and SSE = 384. -The least squares criterion is A) min B) min C) min D) min
D) min Exhibit 15-8 The following estimated regression model was developed relating yearly income (y in $1,000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female) . = 30 + 0.7x<sub>1</sub> + 3x<sub>2</sub> Also provided are SST = 1,200 and SSE = 384. -The least squares criterion is A) min B) min C) min D) min

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