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Twenty-One Executives in a Large Corporation Were Randomly Selected for a Study

Question 16

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Twenty-one executives in a large corporation were randomly selected for a study in which several factors were examined to determine their effect on annual salary (expressed in $000's) . The factors selected were age, seniority, years of college, number of company divisions they had been exposed to and the level of their responsibility. A regression analysis was performed using a popular spreadsheet program with the following regression output: Twenty-one executives in a large corporation were randomly selected for a study in which several factors were examined to determine their effect on annual salary (expressed in $000's) . The factors selected were age, seniority, years of college, number of company divisions they had been exposed to and the level of their responsibility. A regression analysis was performed using a popular spreadsheet program with the following regression output:   Determine the multiple regression equation. _______________________ A)  Y' = 23.004 - 0.031X<sub>1</sub><sub> </sub>+ 0.381X<sub>2</sub><sub> </sub>+ 1.452X<sub>3</sub><sub> </sub>- 0.089X<sub>4</sub><sub> </sub>+ 3.554X<sub>5</sub> B)  Y' = -23.004 - 0.031X<sub>1</sub><sub> </sub>+ 0.381X<sub>2</sub><sub> </sub>+ 1.45X<sub>3</sub><sub> </sub>- 0.089X<sub>4</sub><sub> </sub>+ 3.554X<sub>5</sub> C)  Y' = 23.004 - 0.031X<sub>1</sub><sub> </sub>+ 0.381X<sub>2</sub><sub> </sub>+ 1.452X<sub>3</sub><sub> </sub>+ 0.089X<sub>4</sub><sub> </sub>- 3.554X<sub>5</sub> D)  Y' = 23.004 - 0.031X<sub>1</sub><sub> </sub>- 0.381X<sub>2</sub><sub> </sub>- 1.452X<sub>3</sub><sub> </sub>- 0.089X<sub>4</sub><sub> </sub>+ 3.554X<sub>5</sub> E)  Y' = -23.004 + 0.031X<sub>1</sub><sub> </sub>- 0.381X<sub>2</sub><sub> </sub>- 1.45X<sub>3</sub><sub> </sub>+ 0.089X<sub>4</sub><sub> </sub>- 3.554X<sub>5</sub> Determine the multiple regression equation. _______________________


A) Y' = 23.004 - 0.031X1 + 0.381X2 + 1.452X3 - 0.089X4 + 3.554X5
B) Y' = -23.004 - 0.031X1 + 0.381X2 + 1.45X3 - 0.089X4 + 3.554X5
C) Y' = 23.004 - 0.031X1 + 0.381X2 + 1.452X3 + 0.089X4 - 3.554X5
D) Y' = 23.004 - 0.031X1 - 0.381X2 - 1.452X3 - 0.089X4 + 3.554X5
E) Y' = -23.004 + 0.031X1 - 0.381X2 - 1.45X3 + 0.089X4 - 3.554X5

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