REGRESSION ANALYSIS IN R: A Comprehensive View for the Social Sciences (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
REGRESSION ANALYSIS IN R: A Comprehensive View for the Social Sciences (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) is backordered and will ship as soon as it is back in stock.
Couldn't load pickup availability
Genuine Products Guarantee
Genuine Products Guarantee
We guarantee 100% genuine products, and if proven otherwise, we will compensate you with 10 times the product's cost.
Delivery and Shipping
Delivery and Shipping
Products are generally ready for dispatch within 1 day and typically reach you in 3 to 5 days.
Book Details:
-
Author: Jocelyn E. Bolin
-
Publisher: CRC Press
-
Edition: 1
-
Binding: Paperback
-
Number of Pages: 180
-
Release Date: 27-07-2022
-
EAN: 9780367272586
-
Package Dimensions: 9.1 x 6.2 x 0.6 inches
-
Languages: English
About The Book:
Multiple Linear Regression: A Comprehensive Guide for Social Science Students offers an in-depth exploration of both basic and advanced applications of multiple linear regression. Aimed primarily at graduate-level students in the social sciences, this book walks readers through foundational concepts like bivariate correlation before advancing to more complex regression techniques and extensions.
Written by Jocelyn E. Bolin, this guide ensures that students can understand and apply statistical methods effectively across various real-world social science contexts. The book strikes a balance between theory and practical application, making it suitable for those who seek to develop their skills in quantitative research.
Key Features:
-
Bivariate Correlation: A comprehensive introduction to this essential foundational concept.
-
Basic to Complex Applications: Step-by-step explanations that progress from simple to advanced multiple linear regression applications.
-
For Graduate Social Science Students: Tailored to students in social science disciplines, with clear explanations and examples.
This book is ideal for students and researchers who wish to gain a solid grounding in statistical regression techniques and apply them to social science data.