Tags: REGRESSION analysis
- Reporting nonhierarchical regression results. Schafer, William D. // Measurement & Evaluation in Counseling & Development (American C;Jan92, Vol. 24 Issue 4, p146
Editorial. Discusses methods in reducing complexity of describing contributions of each individual predictors in the relationship of predictor and criterion variable. The Chevan and Sutherland's way; The independent contribution of that variable by Chevan and Sutherland.
- Foliar ozone injury and radial growth of ponderosa pine Temple, Patrick J.; Miller, Paul R. // Canadian Journal of Forest Research;Sep1994, Vol. 24 Issue 9, p1877
No abstract available.
- APPENDIX. // Thailand Country Profile;2011, p80
An appendix for the December 2011 issue of the "Country Analysis Report: Thailand" is presented.
- Development of regression equations (Ronen and Sadan, 1981). // Journal of Applied Business Research;Winter94, Vol. 10 Issue 1, p100
Focuses on three regression equations which were developed by Ronen and Sadan (R & S), to develop 12 different industries. Discretionary expenses (DX), operating expenses (OpX), and the total of these expenses (TotX) seen as the dependent variables for these equations.
- Don't forget the structure coefficients. Thompson, Bruce // Measurement & Evaluation in Counseling & Development (American C;Jan90, Vol. 22 Issue 4, p178
Editorial. Illustrates how canonical analysis provides identical results to the techniques that the method subsumes. Several interpretations of regression results; Data from Holzinger and Swineford; Error in interpretation of regression results; Various methodology errors; Other information.
- Reporting hierarchical regression results. William // Measurement & Evaluation in Counseling & Development (American C;Oct91, Vol. 24 Issue 3, p98
Discusses some guidelines that can be consulted for developing useful tables to report multiple regression outcomes. Two situations which are fundamentally distinct that separate recommendations; Appropriate orders of entry that can arise for several reasons; How the analysis is clearly...
- Graphical description of interaction outcomes for regressions with groups. Schafer, William D. // Measurement & Evaluation in Counseling & Development (American C;Jul92, Vol. 25 Issue 2, p50
Editorial. Describes a modification of the usual graphical representation of heterogenous regressions that can aid in interpreting significant regions for regression surfaces. the homogeneity of regression test; A convenient way to convey information about the univariate distribution of sample.
- The effects of food stamps on food expenditures: Comment. Kott, Phillip S. // American Journal of Agricultural Economics;Aug90, Vol. 72 Issue 3, p731
Comments on an article by Devaney and Fraker which compares the weighted and unweighted regression analyses performed on data from the 1977-78 Nationwide Food Consumption Survey (NFCS). Difficulty of the article authors to interpret their findings; Regression packages designed for use with data...
- Regression applied to protein binding site prediction and comparison with classification. // BMC Bioinformatics;2009, Vol. 10, p276
Background: The structural genomics centers provide hundreds of protein structures of unknown function. Therefore, developing methods enabling the determination of a protein function automatically is imperative. The determination of a protein function can be achieved by studying the network of...