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Macroeconomic Data ABSTRACT This research tested hypoth

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The purpose of this research was to apply statistical procedures to macroeconomic data in the United States, to test hypotheses related to the unemployment rate. A total of six hypotheses were formulated and tested. These hypotheses were stated as follows:

1. It is hypothesized that the rate of civilian unemployment in the United States changes linearly and inversely to changes in the gross national product.

2. It is hypothesized that changes in the unemployment rate are more extreme for nonwhites than for whites.

3. It is hypothesized that changes in the unemployment rate are more extreme for females than for males.

4. It is hypothesized that changes in the unemployment rate are more extreme for persons under the age of 20 years 1

old in the economy than for those persons aged 20 years old and older.

5. It is hypothesized that changes in the unemployment rate are more extreme for parttime workers than for fulltime workers.

6. It is hypothesized that changes in the unemployment rate are more extreme for inexperienced workers than for experienced workers.

Seven variables were involved in the testing of the hypotheses. Five of these variables were qualitative, and the remaining two were quantitative. These variables were as follows:

a. Race: (1) white; and (2) nonwhite.

b. Sex: (1) male; and (2) female.

c. Age: (1) aged 20 years old and older; and (2) u

. . .
cedure and regression analysis is that, in analysis of vari ance, the emphasis is on analysis of the variations in the independent variable, as opposed to the joint interaction of the variations in dependent and independent variables. One result of this difference in emphasis is that, in regression analysis, both the independent and the dependent variables must be measured on an interval scale, whereas, in analysis of variance procedures, only the dependent variable is required to be measured on an interval scale (Nie, Hull, Jenkins, Steinbrenner, and Bent, 1975). Simple regression analysis involves the analysis of the relationship between one dependent variable and one explanatory, or independent, variable. Multiple regression, on the other hand, is a . . general statistical technique through which one can analyze the relationship between a dependent or criterion variable and a set of independent or predictor variables. Multiple regression may be viewed either as a descriptive tool by which the linear dependence of one variable on others is summarized and decomposed, or as an inferential tool by which the relationships in the population are evaluated from the examination of sample data (Nie, Hull, Jenkins, Steinbrenn
. . .

Some common words found in the essay are:
, Qualitative Race, Economic Advisers, Quantitative Unemployment, METHODS Seven, unemployment rate, Economic Indicators, changes unemployment rate, unemployment rate extreme, hypothesized changes unemployment, rate extreme, changes unemployment, hypothesized changes, aged 20, national product, gross national, gross national product,
Approximate Word count = 2020
Approximate Pages = 8 (250 words per page)

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