Question

Suppose the following data were collected from a sample of 15 CEOs relating annual salary to...

Suppose the following data were collected from a sample of 15 CEOs relating annual salary to years of experience and the economic sector their company belongs to. Which of the following is the best equation to use relating salary to experience and business sector?

CEO Salaries
Salary Experience Service (1 if service sector, 0 otherwise) Industrial (1 if industrial sector, 0 otherwise) Financial (1 if financial sector, 0 otherwise)
154800154800 2020 11 00 00
151462151462 1717 00 11 00
190295190295 2020 00 00 11
155025155025 2222 11 00 00
166605166605 1212 00 00 11
161412161412 2727 11 00 00
143000143000 99 00 11 00
150850150850 22 00 00 11
136050136050 77 00 11 00
166806166806 1313 00 00 11
142188142188 1111 11 00 00
204612204612 2626 00 00 11
148475148475 1515 11 00 00
150000150000 1616 00 11 00
162375162375 2525 00 11 00

SALARYi=b0+b1INDUSTRIALi+b2FINANCIALi+b3SERVICEi+ei

SALARYi=b1INDUSTRIALi+b2FINANCIALi+b3SERVICEi+ei

SALARYi=b0+b1EXPERIENCEi+b2INDUSTRIALi+b3FINANCIALi+b4SERVICEi+ei

SALARYi=b1EXPERIENCEi+b2INDUSTRIALi+b3FINANCIALi+ei

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Answer #1

SALARYi = b0 + b1 EXPERIENCEi + b2 INDUSTRIALi + b3 FINANCIALi + b4 SERVICEi + ei

Because we have 4 variables, hence we would require 4 regression coefficients + 1 intercept + 1 error term.

The 4 regression coefficients correspond to experience and the 3 economic sectors.

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