See Regression for a description of how to generate the outputs described on this page and Regression Troubleshooting for a description of some common difficulties and their solutions.
P - Values by Question
The first table of the output screen contains p-values for significance tests for all of the Independent questions. The word INCLUDED indicates the question is in the final model. EXCLUDED will appear if the question has been excluded by stepwise selection.
p-values of All Questions (Included and Excluded)
p-Values
INCLUDED Satisfaction with fees (linear) .000
INCLUDED Satisfaction with interest rates (linear) .000
INCLUDED Satisfaction with phone (linear) .000
INCLUDED Satisfaction with branch (linear) .000
INCLUDED Satisfaction with availability of ATMs (linear) .000
INCLUDED Satisfaction with online (categorical) .000
Goodness of fit statistics
The R-Squared and Adjusted R-Squared are computed in the traditional way for linear regression models. For the other models, McFadden’s Rho-squared is employed. The AIC, which appears for all the models except linear regression, can be used for comparing different models (all else being equal, a lower AIC indicates a better model).
Dependent question: Overall satisfaction (Linear) Standard error of the residuals (model): .14557 R-Squared: .458 Adjusted R-Squared: .453 Model p-value: .00000
The following table of coefficients is interpreted in the standard way (see any book on regression or an econometrics textbook; some are listed below).
Coef S.E. t-Stat p-Value Beta VIF
Constant (intercept) -.288 .034 -8.489 .000 NaN NaN
fees (linear) .353 .027 13.120 .000 .327 1.008
interest rates (linear) .303 .026 11.729 .000 .292 1.003
phone (linear) .315 .028 11.256 .000 .281 1.011
branch (linear) .128 .010 13.087 .000 .326 1.008
availability of ATMs (linear) .214 .025 8.420 .000 .211 1.018
online (categorical) Very dissatisfied + 2 .000 NaN NaN NaN NaN NaN
3 .036 .017 2.191 .029 .086 2.495
4 .082 .016 5.046 .000 .201 2.586
5 + Very satisfied .120 .018 6.669 .000 .242 2.140
See Ordered Logit and Multinomial Logistic Discriminant Analysis for additional information on the interpretation of outputs from these models.
Good textbooks describing the interpretation of regression models
Introductory
Fox, John (1997), Applied Regression Analysis, Linear Models, and Related Methods. Thousand Oaks: SAGE Publications
Kennedy, Peter (2008), A Guide to Econometric: Blackwell, 6th Edition
Advanced
Greene, William H. (1997), Econometric Analysis (International ed.). Upper Saddle River, New Jersey: Prentice-Hall International
Cameron, A. Colin and Pravin K. Trivedi. (2005), Microeconometrics: Methods and Applications. Cambridge: Cambridge University Press.