SCENARIO 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X 1 = Age) and experience in the field (X 2 = 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 H₀: $\beta$₁=$\beta$₂= 0 .At a level of significance of 0.05,the null hypothesis is rejected.

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Without the specific details of Scenario 14-7, including the nature of the hypothesis test, data, and statistical methods used, it's impossible to accurately determine the outcome of the hypothesis test or the correctness of rejecting the null hypothesis at a 0.05 significance level.

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

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