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OverviewThe author clearly explains all the theory students will need to avoid mistakes, understand what regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples. Full Product DetailsAuthor: Conrad CarlbergPublisher: Pearson Education (US) Imprint: Que Corporation,U.S. Dimensions: Width: 18.30cm , Height: 2.10cm , Length: 22.90cm Weight: 0.580kg ISBN: 9780789756558ISBN 10: 0789756552 Pages: 368 Publication Date: 18 May 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1 Measuring Variation: How Values Differ 2 Correlation 3 Simple Regression 4 Using the LINEST( ) Function 5 Multiple Regression 6 Assumptions and Cautions Regarding Regression Analysis 7 Using Regression to Test Differences Between Group MeansReviewsAuthor InformationConrad Carlberg (www.conradcarlberg.com) is a nationally recognized expert on Quantitative analysis and on data analysis and management applications such as Microsoft Excel, SAS, and Oracle. He holds a Ph.D. in statistics from the University of Colorado and is a many-time recipient of Microsoft’s Excel MVP designation. Carlberg is a Southern California native. After college he moved to Colorado, where he worked for a succession of startups and attended graduate school. He spent two years in the Middle East, teaching computer science and dodging surly camels. After finishing graduate school, Carlberg worked at US West (a Baby Bell) in product management and at Motorola. In 1995 he started a small consulting business that provides design and analysis services to companies that want to guide their business decisions by means of quantitative analysis—approaches that today we group under the term “analytics.” He enjoys writing about those techniques and, in particular, how to carry them out using the world’s most popular numeric analysis application, Microsoft Excel. Tab Content 6Author Website:Countries AvailableAll regions |