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This book offers hands-on statistical tools for business
professionals by focusing on the practical application of a
single-equation regression. The authors discuss commonly applied
econometric procedures, which are useful in building regression
models for economic forecasting and supporting business decisions.
A significant part of the book is devoted to traps and pitfalls in
implementing regression analysis in real-world scenarios. The book
consists of nine chapters, the final two of which are fully devoted
to case studies. Today's business environment is characterised by a
huge amount of economic data. Making successful business decisions
under such data-abundant conditions requires objective analytical
tools, which can help to identify and quantify multiple
relationships between dozens of economic variables. Single-equation
regression analysis, which is discussed in this book, is one such
tool. The book offers a valuable guide and is relevant in various
areas of economic and business analysis, including marketing,
financial and operational management.
This book offers hands-on statistical tools for business
professionals by focusing on the practical application of a
single-equation regression. The authors discuss commonly applied
econometric procedures, which are useful in building regression
models for economic forecasting and supporting business decisions.
A significant part of the book is devoted to traps and pitfalls in
implementing regression analysis in real-world scenarios. The book
consists of nine chapters, the final two of which are fully devoted
to case studies. Today's business environment is characterised by a
huge amount of economic data. Making successful business decisions
under such data-abundant conditions requires objective analytical
tools, which can help to identify and quantify multiple
relationships between dozens of economic variables. Single-equation
regression analysis, which is discussed in this book, is one such
tool. The book offers a valuable guide and is relevant in various
areas of economic and business analysis, including marketing,
financial and operational management.
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