Business Applications of Multiple Regression
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A01=Ronny Richardson
applied business statistics for managers
Author_Ronny Richardson
Category=KJMD
Category=KJT
Correlation
Correlation analysis
data analysis with Microsoft Excel and stats
Data mining
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Forecasting
Hypothesis testing
multiple regression for business forecasting
Multiple regression Regression
predictive modeling and correlation analysis
real-world data sets for business analytics
Regression analysis
Simple regression
step-by-step guide to multiple regression
understanding variables in business decisions
Product details
- ISBN 9781631570599
- Weight: 268g
- Dimensions: 152 x 228mm
- Publication Date: 14 Jan 2015
- Publisher: Business Expert Press
- Publication City/Country: US
- Product Form: Paperback
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A basic understanding of multiple regression is helpful in carrying out good business practices—specifically in the areas of demand management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach. Readers will benefit from its practitioner language and frequent use of examples. Multiple regression is at the heart of business data analysis because it deals with explanations of why data behaves the way it does and correlations demonstrating this behavior. The applied emphasis of the book provides clear illustrations of these principles and offers complete examples of the types of applications that are possible, including how to arrive at basic forecasts when the absence of historical data makes more sophisticated forecasting techniques impossible, and how to carry out elementary data mining, which can be done using only Excel, without reliance on more specialized data mining software. Students and business readers will learn how to specify regression models that directly address their questions.
