Applied Linear Regression Models(3rd Edition)

Authors:

John Neter, Michael H Kutner, William Wasserman, Christopher J. Nachtsheim

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$0

List Price: $22.12 Savings: $22.12 (100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Applied Linear Regression Models

Price:

$9.99

/month

Book details

ISBN: 025608601X, 9780256086010

Book publisher: McGraw-Hill/Irwin

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Customer Reviews

Trusted feedback from verified buyers

EP
Ella Parker
4.0
This book serves as a very helpful guide for those looking to delve into linear regression. It's well-organized, and the authors tackle complex topics with ease. My only gripe is that a few sections could use more detailed examples, but overall it's a great learning tool. Arrived ahead of schedule and was well-packaged, which was a plus!
PS
Paisley Sanders
4.0
The book hits a good balance between theoretical insights and practical application. The authors have put significant effort into ensuring the content is accessible yet profound. It was a nice surprise to find that my online membership provided an additional discount! Even though it's not perfect, it’s among the better resources available.
FD
Faith Donovan
5.0
This book stands out for its clear explanations and thoughtful examples. As a data analyst, I found this to be an invaluable resource. The authors have done an excellent job in balancing theory with practical application. I particularly appreciated the sections on residual analysis. Purchased it through my company's membership program and got a significant discount, which was a bonus. Delivered promptly and in good condition. Highly recommended for anyone serious about learning linear regression.