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Correspondence analysis is an exploratory technique used to analyze simple two-way and multi-way tables containing measures of correspondence between the rows and colulnns of any given data. The results provide information almost similar to those produced by Factor Analysis techniques, and they allow us to explore the structure of categorical variables included in the table. Multiple correspondence analysis (MCA) is an extension of simple correspondence analysis to more than two variables. MCA can be used to analyze several contingency tables by generalizing CA.
case study in heat power engineering
The cornlnunalities h j represent the fraction of the total variance' 'accounted for of variabie j. Ry calculating the communalities we can keep track of how much of-the orig
it is said that management is equivalent to decision making? do you agree? explain
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Simple Linear Regression While correlation analysis determines the degree to which the variables are related, regression analysis develops the relationship between the var
give a elementary example for characterstics of index number
Consider the sample of 60 package design ratings given in the table below. A Sample of Package Design Ratings (Composite S
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Properties of correlation
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