SCENARIO 18-10 Given Below Are Results from the Regression Analysis

question 16

True/False

SCENARIO 18-10 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), the number of years of education received (Edu), the number of years at the previous job (Job Yr), a dummy variable for marital status (Married: 1 = married, 0 = otherwise), a dummy variable for head of household (Head: 1 = yes, 0 = no)and a dummy variable for management position (Manager: 1 = yes, 0 = no).We shall call this Model 1.The coefficient of partial determination of each of the 6 predictors are, respectively, 0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201. Model 2 is the regression analysis where the dependent variable is Unemploy and the independent variables are Age and Manager.The results of the regression analysis are given below:
-Referring to Scenario 18-10 Model 1, we can conclude that, holding constant the effect of the other independent variables, the number of years of education received has no impact on the mean number of weeks a worker is unemployed due to a layoff at a 10% level of significance if all we have is the information on the 95% confidence interval estimate for .

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Definitions:

Null Hypothesis

The presumption that there is no significant difference or effect, often used as a default hypothesis in statistical testing that the experiment aims to reject.

Alternative Hypotheses

The hypothesis that proposes there is a statistically significant difference between two parameters or that a particular parameter is significantly different from a hypothesized value.

Type II Error

The error made when failing to reject a false null hypothesis, often referred to as a "false negative".

Null Hypothesis

A statement used in statistical testing which proposes that no significant difference or effect exists between certain characteristics of a population.