Bookbot

Applying Regression and Correlation

A Guide for Students and Researchers

Valutazione del libro

Parametri

  • 272pagine
  • 10 ore di lettura

Maggiori informazioni sul libro

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable. Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe

Acquisto del libro

Applying Regression and Correlation, Jeremy Miles, Mark Shevlin

Lingua
Pubblicato
2000
Rilegatura
(In brossura)
Ti avviseremo via email non appena lo rintracceremo.

Metodi di pagamento

4,6
Eccellente
17 Valutazioni

Qui potrebbe esserci la tua recensione.

Titolo
Applying Regression and Correlation
Sottotitolo
A Guide for Students and Researchers
Lingua
Inglese
Pubblicato
2000
Formato
In brossura
Pagine
272
ISBN10
0761962301
ISBN13
9780761962304
Serie
Valutazione
4,6 su 5
Descrizione
This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable. Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe