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Instruction 13 β\beta 3

Question 75

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Instruction 13.24
A financial analyst wanted to examine the relationship between salary (in $1,000) and four variables: age (X1 = Age), experience in the field (X2 = Exper), number of degrees (X3 = Degrees) and number of previous jobs in the field (X4 = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:
Instruction 13.24 A financial analyst wanted to examine the relationship between salary (in $1,000) and four variables: age (X<sub>1</sub> = Age), experience in the field (X<sub>2</sub> = Exper), number of degrees (X<sub>3</sub> = Degrees) and number of previous jobs in the field (X<sub>4</sub> = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output: Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error -Referring to Instruction 13.24,the analyst decided to construct a 99% confidence interval for \beta <sub>3</sub>.The confidence interval is from _____ to _____. Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error
-Referring to Instruction 13.24,the analyst decided to construct a 99% confidence interval for β\beta 3.The confidence interval is from _____ to _____.

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