によって jason kyle 16年前.
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Chapter 15Multivariate
In the realm of data analysis, various techniques are employed to understand relationships and dependencies among multiple variables. Factor analysis is pivotal in reducing redundancy by grouping variables that share common factors.
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Chapter 15Multivariate Analyze interdepenency Multidimensional scaling Measures distance fromideal and actual points objective Cluster Analysis dimension free classifications effective in discovery stages Factor analysis reduces redundency bygrouping variables with thesame factors MIDLAND MEADOWS Cluster analysis would allow Glen tosegment golfers view towards small golf courses MONANOVA could be used to evaluategolfers feelings towards optional featureson the course Select a technique Measure interdependencies at least interval Ordinal or less Measure dependencies Interval Nominal MONANOVA used extensively in marking research measures the weights of effect by the interdependent var MANOVA takes into effect of the relationships between depen vars. more effective than anovas on each variable used to measure the effect on two or more dependent
