209,78 €
233,09 €
-10% with code: EXTRA
Applying Regression and Correlation
Applying Regression and Correlation
209,78 €
233,09 €
  • We will send in 10–14 business days.
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…
233.09
  • SAVE -10% with code: EXTRA

Applying Regression and Correlation (e-book) (used book) | bookbook.eu

Reviews

(4.47 Goodreads rating)
Rate it too! All reviews

Description

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

FREE DELIVERY

EXTRA 10 % discount with code: EXTRA

209,78 €
233,09 €
We will send in 10–14 business days.

The promotion ends in 23d.19:07:55

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 2,33 Book Euros!?

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

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)