Kpolovie P.J. Correlation, Multiple Regression and Three-Way Anova

Peter James Kpolovie, 2021. — 463 p. — ISBN 979-8-5958-4025-5.Корреляция, множественная регрессия
Это превосходное руководство IBM SPSS предназначено для установления взаимосвязей между переменными, включая чисто причинно-следственные связи, и для точного прогнозирования событий.
Существование зависит от отношений. Каждый пользователь этой книги может без труда установить двумерные, частичные и множественные отношения между переменными. Кроме того, точное предсказание зависимой переменной по одной переменной-предиктору и по нескольким независимым переменным.This IBM SPSS excellent guide book is for the impeccable establishment of relationships between variables, including pure cause-and-effect relationships, and for accurate prediction of events.
Existence depends on relationships. Every user of this bookcan effortlessly establish the bivariate, partial and multiple relationships among variables. Plus, accurate prediction of a dependent variable on one predictor variable, and on several independent variables.
Three main effects, three simple interaction effects and one complex three-way interaction effect on a dependent variable can simultaneously be determined just by tapping very few computer buttons, as demonstrated in the book.
Peter James Kpolovie has provided an absolute self-guide with SPSS syntax and dialog boxes selection methods that excellently presents
Correlation
Partial correlation
Simple Regression
Multiple Regression
Three-Way Analysis of Variance
Complete procedural steps for the data analysis
Impeccable screenshot illustrations
Superb interpretation of undistorted outputs.Get a copy now, and acquire expert skills of accurate data analysis with SPSS. Increase your efficacy, efficiency and income meaningfully with the new skills.Three-Way Analysis of Variance
Correlation
Partial Correlation
Simple Regression
Multiple Regression
Appendix A IBM SPSS Syntax for Each of the Statistical Tests