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TABLE 14-8 A Financial Analyst Wanted to Examine the Relationship Between Salary

Question 88

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TABLE 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 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:
SUMMARY OUTPUT
Regression Statistics
TABLE 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 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: SUMMARY OUTPUT Regression Statistics ANOVA -Referring to Table 14-8, the analyst wants to use a t test to test for the significance of the coefficient of X<sub>3</sub>. At a level of significance of 0.01, the department head would decide that β<sub>3</sub> ≠ 0. ANOVA
TABLE 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 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: SUMMARY OUTPUT Regression Statistics ANOVA -Referring to Table 14-8, the analyst wants to use a t test to test for the significance of the coefficient of X<sub>3</sub>. At a level of significance of 0.01, the department head would decide that β<sub>3</sub> ≠ 0. TABLE 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 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: SUMMARY OUTPUT Regression Statistics ANOVA -Referring to Table 14-8, the analyst wants to use a t test to test for the significance of the coefficient of X<sub>3</sub>. At a level of significance of 0.01, the department head would decide that β<sub>3</sub> ≠ 0.
-Referring to Table 14-8, the analyst wants to use a t test to test for the significance of the coefficient of X3. At a level of significance of 0.01, the department head would decide that β3 ≠ 0.

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