Multivariate Statistical Analysis: A Conceptual IntroductionThis classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping, and more. It closes the gap between spiraling technology and its intelligent application, fulfilling the potential of both. |
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Page 124
... shelf space allocated to the line by each grocer . Ten stores are selected at random from across the country and observations are made on the following variables : ( 1 ) total shelf - facing allotted to the product line - width times ...
... shelf space allocated to the line by each grocer . Ten stores are selected at random from across the country and observations are made on the following variables : ( 1 ) total shelf - facing allotted to the product line - width times ...
Page 135
... shelf space and observe accompanying changes in sales . All we did was observe that larger shelf space tended to be associated with larger sales , just as spherical objects tended to be red in our preceding example . It is quite ...
... shelf space and observe accompanying changes in sales . All we did was observe that larger shelf space tended to be associated with larger sales , just as spherical objects tended to be red in our preceding example . It is quite ...
Page 154
... shelf space . The correlation between these two variables , measured over a set of ten stores , was r = .833 . It ... space or total sales - allocated more space to the spice line , much of the relationship between shelf space and spice ...
... shelf space . The correlation between these two variables , measured over a set of ten stores , was r = .833 . It ... space or total sales - allocated more space to the spice line , much of the relationship between shelf space and spice ...
Contents
FUNDAMENTAL CONCEPTS 1 Introduction | 1 |
Objects variables and scales | 8 |
Frequency distributions | 21 |
Copyright | |
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Common terms and phrases
alternative application approach associated average calculate chapter characteristics cluster color concept consider correlation coefficient criterion variable defined degrees of freedom depending derived determine dimensions discriminant discriminant function discussion distance distribution effects equal equation error estimate example experiment experimental fact factor analysis Figure frequency given groups hypothesis identify important independent individual input instance inter-object interest interpretation interval less levels loading matrix mean measured median multiple named nature objects observations obtained occur original outcomes package pair particular performance population possible prediction predictor variables present probability problem procedure random ratio referred regression analysis relationship relative represent respective sample mean sampling distribution scale scores shape shown shows similarity simple situations space square standard deviation statistical Table technique true understand values variance variation various weights