How can we use a nominal level variable like region (East, West, South, and Midwest) in a regression analysis? How would you manipulate the variable for inclusion in the regression equation?

What will be an ideal response?


If we had a categorical variable with more than two categories, we could create separate dummy variables for each category. Suppose, for instance, the states had been divided into four regions: North, South, Midwest, and West. The four dummy variables that represent this “meta” variable would be as follows: [XEast = 1 if East; 0 otherwise (i.e., not eastern state)], [XSouth = 1 if South; 0 otherwise], [XMidwest = 1 if Midwest; 0 otherwise], [XWest = 1 if West; 0 otherwise.] By coding each region as its own dummy variable we would be able to convert a non-mathematical nominal level variable into four numerical variables that could be used in a regression.

Political Science

You might also like to view...

How did the process of proposing the Equal Rights Amendment resemble that of the Nineteenth Amendment?

a. The same arguments were used against both. b. Both amendments passed Congress but failed to be ratified. c. The same cluster of southern states opposed ratification of both amendments. d. In both cases, women favored the amendments, but men were strongly opposed.

Political Science

Which theoretical paradigm focuses on economic classes and the role of wealth in power?

a. realism b. liberalism c. constructivism d. Marxism

Political Science

Congress, a __________ legislature, has __________ members.

A. unicameral; 435 B. unicameral; 535 C. bicameral; 650 D. bicameral; 535

Political Science

Which of the following is an example of an outstanding failure of international law, that unsuccessfully outlawed war

a. Kellogg-Briand Pact b. Geneva Convention of 1864 c. Geneva Convention of 1949 d. Anti-War Act of 1921 e. Treaty of Versailles

Political Science