Heinz data sales (Chapter 3) http://hdl.handle.net/1765/8092 10.2277/0521801664 9780521801669 Datasets (ESE) 2001 Ph.H.B.F Franses, R. Paap, Quantitative Models in Marketing Research, Cambridge University Press, 2001. Heinz data sales (Chapter 3) Franses, Ph.H.B.F. Paap, R. RePub 2006 2006-11-09 Added filetypes CSV and ODF. Chapter 3. illustrates a continuous dependent variable. Heinz sales marketing research mathematical models HF 5438.4 M31 marketing verkoop kwantitatieve methoden 85.40 Recent advances in data collection and data storage techniques enable marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. 1985 1988 1985 1988 United States of America Sioux Falls, South Dakota city individuals weekly sales in supermarket of Heinz Tomato Ketchup observation data Dependent variable: Continuous. Name of model: Standard linear regression model. observations A.C. Nielsen weekly 124 weekly observations observations Repub 4 data files + DDI XML file describing the data + 4 license files 9 files CHAPTER3.csv csv CHAPTER3.ods ods chap3xls.zip xls zip chap3wf1.zip wf1 zip In chapter 3 we will discuss various aspects of the standard Linear Regression model.