Research Catalog

Title

• Applied regression : an introduction / Michael S. Lewis-Beck.

Author

Lewis-Beck, Michael S.

Publication

Beverly Hills, Calif. : Sage Publications, c1980.

Items in the Library & Off-site

Holdings

Details

Description

79 p. : ill.; 22 cm.

Summary

This text allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. It discusses specialized subjects such as analysis of residuals, interaction effects, dummy variables, specification error, multicollinearity, and standardized coefficients.

Series Statement

• Sage university papers series. Quantitative applications in the social sciences ; no. 07-022

Uniform Title

Quantitative applications in the social sciences no. 07-022.

Subject

• Analysis of Variance
• Regression analysis
• Regression analysis - For social sciences
• Social sciences > Statistical methods
• Statistics

Genre/Form

Einführung.

Bibliography (note)

• Bibliography: p. 77.

Processing Action (note)

• committed to retain

Contents

1. Bivariate regression: fitting a straight line -- Exact versus inexact relationships -- The least squares principle -- The data -- The scatterplot -- The slope -- The intercept -- Prediction -- Assessing explanatory power: The R² -- R² versus r -- 2. Bivariate regression: Assumptions and inferences -- The regression assumptions -- Confidence intervals and significance tests -- The one-tailed test -- Significance testing: a rule of thumb -- Reasons why a parameter estimate may not be significant -- The prediction error for Y -- Analysis of residuals -- The effect of safety enforcement on coal mining fatalities: a bivariate regression example -- 3. Multiple regression -- The general equation -- Interpreting the parameter estimates -- Confidence intervals and significance tests -- The R² -- Predicting Y -- The possibility of interaction effects -- A four-variable model: overcoming specification error -- The multicollinearity problem -- High multicollinearity: an example -- The relative importance of the independent variables -- Extending the regression model: dummy variables -- Determinants of coal mining fatalities: a multiple regression example -- What next?

ISBN

0803914946 (pbk.)

LCCN

^^^80005821^

OCLC

6699609

Owning Institutions

Harvard Library