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SCENARIO 14-8
a Financial Analyst Wanted to Examine the Relationship β\beta

Question 60

True/False

SCENARIO 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X1 = Age) and experience in the field (X2 = Exper). He took a sample of 20 employees and obtained the following Microsoft Excel output:
SCENARIO 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X<sub>1</sub> = Age) and experience in the field (X<sub>2</sub> = Exper). He took a sample of 20 employees and obtained the following Microsoft Excel output: Also, the sum of squares due to the regression for the model that includes only Age is 5022.0654 while the sum of squares due to the regression for the model that includes only Exper is 125.9848. -Referring to Scenario 14-7,the department head wants to test H<sub>0</sub>: \beta <sub>1 </sub>= \beta <sub>2 </sub>= 0 .At a level of significance of 0.05,the null hypothesis is rejected.
SCENARIO 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X<sub>1</sub> = Age) and experience in the field (X<sub>2</sub> = Exper). He took a sample of 20 employees and obtained the following Microsoft Excel output: Also, the sum of squares due to the regression for the model that includes only Age is 5022.0654 while the sum of squares due to the regression for the model that includes only Exper is 125.9848. -Referring to Scenario 14-7,the department head wants to test H<sub>0</sub>: \beta <sub>1 </sub>= \beta <sub>2 </sub>= 0 .At a level of significance of 0.05,the null hypothesis is rejected.
Also, the sum of squares due to the regression for the model that includes only Age is 5022.0654 while the sum of squares due to the regression for the model that includes only Exper is 125.9848.
-Referring to Scenario 14-7,the department head wants to test H0: β\beta 1 = β\beta 2 = 0 .At a level of significance of 0.05,the null hypothesis is rejected.

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