POLS 385 Study Guide - Final Guide: Infant Mortality, Variance Inflation Factor, Sampling Distribution

• School: Queen's University
• Department: Political Studies
• Course: POLS 385
• Professor: Kyle Hanniman

Document Summary

Continuous and categorical data are both important measurement metrics especially when classifying variables. How do the interpretations of categorical and continuous regression coefficients differ in ols analysis? variables are also known as discrete or qualitative variables and cannot be ranked or ordered. Categorical variables can further be categorized as either nominal (non-dichotomous), dichotomous, and ordinal. Nominal variables are variables that have two or more categories but do not have an intrinsic order. For example, religious identification can be categorized further into muslims, christians, and buddhists. Dichotomous variables are nominal variables but have only two categories such as gender, where male and female are the only two categories. Ordinal variables also have two or more categories, but they can be ranked or ordered. For example, the answer to the question (cid:498)do you like the policies of the new government? (cid:499) could be a(cid:524) very much b(cid:524) yes c(cid:524) not really d(cid:524) definitely not.