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.