Applied Logistic Regression Analysis (Quantitative by Scott Menard

Logic

By Scott Menard

Emphasizing the parallels among linear and logistic regression, Scott Menard explores logistic regression research and demonstrates its usefulness in interpreting dichotomous, polytomous nominal, and polytomous ordinal based variables. The ebook is geared toward readers with a historical past in bivariate and a number of linear regression.

Show description

Read or Download Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences) PDF

Similar logic books

Fundamentals of Digital Logic and Microcomputer Design: Includes Verilog & VHDL -- Fourth Edition

PREFACE This e-book covers all simple strategies of desktop engineering and technological know-how from electronic common sense circuits to the layout of a whole microcomputer method in a scientific and simplified demeanour. it really is written to offer a transparent knowing of the rules and uncomplicated instruments required to layout common electronic structures comparable to microcomputers.

Logic Programming and Nonmotonic Reasoning: 6th International Conference, LPNMR 2001 Vienna, Austria, September 17–19, 2001 Proceedings

This publication constitutes the refereed complaints of the sixth foreign convention on common sense Programming and Nonmonotonic Reasoning, LPNMR 2001, held in Vienna, Austria in September 2001. The 22 revised complete papers and 11 procedure descriptions offered with 5 invited papers have been conscientiously reviewed and conscientiously chosen.

Logik im Recht: Grundlagen und Anwendungsbeispiele

In dem Lehr- und Studienbuch zeigt der Autor, in welchem Maße logische Strukturen das Rechtsdenken bestimmen. Er erläutert die wesentlichen logischen Grundlagen und ihre Anwendung auf dem Gebiet des Rechts. Zum einen führt dies zu einem tieferen Verständnis der juristischen Dogmatik und einer systematischen Durchdringung des Rechtsstoffs, zum anderen tragen die Überlegungen zwischen Logik und Rechtswissenschaft zu neuen Erkenntnissen bei.

Additional resources for Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences)

Sample text

Bk = 0. For OLS linear regression, the F ratio with N cases and k independent variables can be calculated as F = [SSR/k]/[SSE/(N k 1)] = (N k 1)SSR/(k)SSE. The attained statistical significance (p) associated with the F ratio indicates the probability of obtaining an R2 as large as the observed R2, or b coefficients as large as the observed b coefficients, if the null hypothesis is true. 05, but other values of p may be chosen), then we reject the null hypothesis and conclude that there is a relationship between the independent variables and the dependent variable that cannot be attributed to chance.

43-47). 2, there was some evidence of nonlinearity in the relationship between frequency of marijuana use and exposure to delinquent friends. One possible transformation that could be used to model this nonlinearity is a logarithmic transformation 6 of the dependent variable, FRQMRJ5. This is done by adding 1 to FRQMRJ5 and then taking the natural logarithm. 72 is the base of the natural logarithm. 32. 1, it is evident that the slope is still positive but the numerical value of the slope has changed (because the units in which the dependent variable is measured have changed from frequency to logged frequency).

Bk = 0. For OLS linear regression, the F ratio with N cases and k independent variables can be calculated as F = [SSR/k]/[SSE/(N k 1)] = (N k 1)SSR/(k)SSE. The attained statistical significance (p) associated with the F ratio indicates the probability of obtaining an R2 as large as the observed R2, or b coefficients as large as the observed b coefficients, if the null hypothesis is true. 05, but other values of p may be chosen), then we reject the null hypothesis and conclude that there is a relationship between the independent variables and the dependent variable that cannot be attributed to chance.

Download PDF sample

Rated 4.52 of 5 – based on 8 votes