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	Ordinalna logistička regresija (model proporcijskih šansi)	Regresija običnih najmanjih kvadrata (OLS)
Oblast	Statistika	Ekonometrija
Porodica	Regression model	Regression model
Godina nastanka	2010	2019
Tvorac	Agresti (textbook treatment); proportional odds model	Wooldridge (textbook treatment); classical least squares
Tip	Ordinal logistic regression	Linear regression
Temeljni izvor	Agresti, A. (2010). Analysis of Ordinal Categorical Data (2nd ed.). Wiley.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Drugi nazivi	proportional odds model, ordered logit, ordinal logistic regression, Ordinal Regresyon (Proportional Odds)	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Srodne	5	5
Sažetak	Ordinal logistic regression models an ordered categorical outcome — such as a Likert rating, a satisfaction level, or an education tier — as a function of predictors. It is the ordinal extension of logistic regression, developed in standard treatments such as Agresti's Analysis of Ordinal Categorical Data (2010), and in its most common form it is the proportional odds model.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).