**Linear Regression Using R: An Introduction to Data Modeling**

by David R. Lilja

**Publisher**: University of Minnesota 2016**ISBN-13**: 9781946135001**Number of pages**: 91

**Description**:

The book presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language.

Download or read it online for free here:

**Download link**

(1.7MB, PDF)

## Similar books

**Mathematical Statistics**

by

**Henry Lewis Rietz**-

**Open Court Pub. Co**

The book shifts the emphasis in the study of statistics in the direction of the consideration of the underlying theory involved in certain important methods of statistical analysis, and introduces mathematical statistics to a wider range of readers.

(

**3092**views)

**Essentials of Statistics**

by

**David Brink**-

**BookBoon**

This compendium of probability and statistics offers an instruction in the central areas of these subjects. The focus is overview. The book is intensively examplefied, which give the reader a recipe how to solve all the common types of exercises.

(

**9325**views)

**Introductory Statistics Notes**

by

**Jamie DeCoster**-

**University of Alabama**

It is important to know how to understand statistics so that we can make the proper judgments when a person presents us with an argument backed by data. Data are numbers with a context. We must always keep the meaning of our data in mind.

(

**6027**views)

**Introduction to the Theory of Statistics**

by

**A. M. Mood, F. A. Graybill, D. C. Boes**-

**McGraw-Hill**

A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.

(

**15955**views)