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

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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 use a t test to test for the significance of the coefficient of X<sub>1</sub>.The p-value of the test is .
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 use a t test to test for the significance of the coefficient of X<sub>1</sub>.The p-value of the test is .
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 use a t test to test for the significance of the coefficient of X1.The p-value of the test is .


Definitions:

Bell Curve

A bell-shaped curve that typically represents the normal distribution of a variable or set of data, where most scores cluster around the mean, with symmetric tapering off towards the extremes.

Decrease with Age

A phenomenon where certain abilities, functions, or properties gradually diminish as one grows older.

Increase with Age

A process or phenomenon that grows or intensifies as one becomes older.

Face to Face

Direct interaction between two or more people, physically present in the same location, typically involving eye contact and verbal communication.

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