SCENARIO 14-17 Given Below Are Results from the Regression Analysis

question 121

True/False

SCENARIO 14-17 Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy)and the independent variables are the age of the worker (Age)and a dummy variable for management position (Manager: 1 = yes, 0 = no). The results of the regression analysis are given below:
-Referring to Scenario 14-17, you can conclude that, holding constant the effect of the other independent variable, age has no impact on the mean number of weeks a worker is unemployed due to a layoff at a 5% level of significance if we use only the information of the 95% confidence interval estimate for the effect of a one year increase in age on the mean number of weeks a worker is unemployed due to a layoff.

---

Definitions:

Income Before Interest

The earnings a company generates before interest expenses are deducted, used to analyze the profitability of operations without the impact of its capital structure.

Current Liabilities

Short-term financial obligations that are due within one year or within the normal operating cycle of a business.

Current Liabilities

Obligations that a company is expected to pay within one year or within its normal operating cycle, whichever is longer, including accounts payable, short-term loans, and taxes payable.

Noncurrent Liabilities

Obligations of a company not due for settlement within the next 12 months, such as long-term loans, bond payables, and lease liabilities.