Conduct a principal components analysis

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Reference no: EM133014310

The dataset on American college and university rankings (Colleges.jmp) contains information on 1302 American colleges and universities offering an undergraduate program. For each university there are 17 measurements that include continuous measurements (e.g., tuition and graduation rate) and categorical measurements (e.g., location by state and whether it is a private or a public school). a. Make sure the variables are coded correctly in JMP (Nominal, Ordinal, or Continuous), then use the Columns Viewer to summarize the data. Are there any missing values? How many Nominal columns are there? b. Conduct a principal components analysis on the data using both correlations and covariances, and comment on the results. How many principal components would you choose based on each method? What causes the difference? Which method would you choose? Discuss key considerations in this decision.

Reference no: EM133014310

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