Hellwig Z. Linear regression and its application to economics

Pergamon Press Ltd., 1963. — 260 p.This book has been written primarily for scientists in economic, agricultural and technical colleges who deal with economic problems in their research. It is also addressed to graduates of economic and technical colleges employed in different branches of the national economy who because of their occupation have frequent occasion to use statistical methods in studying the relationships between phenomena. To this group belong primarily those engaged in planning, statistics, cost accounting, economic analysis, time and motion studies, inventory control, and technology. This book may also be of some help to students in day and correspondence courses run by schools of economics and business.
In order to use it with ease it is necessary to have a basic knowledge of calculus and of some elements of the theory of probability and mathematical statistics. Since economists are usually interested in the humanities and their knowledge of mathematics is often rather scanty, the outline of this book is so designed as to facilitate its use by enabling the reader to omit the more difficult parts without interfering with his understanding of the whole exposition. Those parts that require a better knowledge of mathematics and statistics are marked with one asterisk (*) at the beginning and with two (**) at the end. They may be omitted without lessening the understanding of the main ideas behind the methods presented, or the mastering of the computation technique. If the more difficult parts are omitted this book is accessible even to those whose background in mathematics and statistics is quite modest, so that the circle of its readers may be quite wide. Even though they will not be able to learn about all the more formal aspects of statistical research methods and of descriptions of relationships existing among phenomena which are presented in this book, they can learn the intuitive and computational aspects of these methods. This, of course, is most important from the point of view of the wide dissemination of the methods presented.Regression and correlation.
The application of regression and correlation to economic research.
Estimating linear regression parameters.
On testing certain statistical hypotheses.
The transformation of curvilinear into linear regression.
The regression line and the trend.
Appendix.
List of symbols.
Tables.