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This document provides a detailed procedure for using SAS Enterprise Miner to perform regression analysis by clustering hospitals based on their demographic information to predict sales of orthopedic
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How to fill out Recitation Supplement: Regression by Cluster Using SAS EM

01
Open SAS Enterprise Miner and create a new project.
02
Import your dataset into the project for analysis.
03
Drag and drop the 'Data Source' node to the diagram and connect it to the 'Regression' node.
04
Select the 'Regression' node and configure it by specifying the target variable and input variables.
05
Incorporate 'Cluster' node by dragging it onto the diagram and connect it to the 'Data Source' node.
06
Use the 'Cluster' node to segment your data based on similarities among input variables.
07
Link the output of the 'Cluster' node back to the 'Regression' node to analyze regression by clusters.
08
Adjust the model settings and parameters to refine the clustering and regression analyses.
09
Run the analysis and review the results generated in the output viewer.
10
Document your findings in the Recitation Supplement format as per project requirements.

Who needs Recitation Supplement: Regression by Cluster Using SAS EM?

01
Students enrolled in a statistics or data analysis course utilizing SAS Enterprise Miner.
02
Researchers seeking to perform regression analysis segmented by clusters.
03
Professionals attempting to apply regression techniques for data-driven decision-making.
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Recitation Supplement: Regression by Cluster Using SAS EM is a tool used for analyzing and modeling data using regression techniques, specifically by grouping data into clusters to enhance the accuracy and reliability of predictive models in SAS Enterprise Miner.
Individuals or organizations that utilize SAS Enterprise Miner for data analysis and are involved in performing regression analysis with clustered data are typically required to file the Recitation Supplement.
To fill out the Recitation Supplement, users must provide detailed information about the dataset being analyzed, the clustering methodology employed, and the regression outcomes. This usually involves entering specific variables, cluster identifiers, regression coefficients, and model diagnostics.
The purpose of the Recitation Supplement is to ensure transparency and accuracy in the reporting of regression models derived from clustered data, thereby providing a comprehensive understanding of the data relationships and helping in decision-making processes.
The information that must be reported includes the variables used in the regression analysis, the clusters identified, the regression model details, such as coefficients and significance levels, and any relevant model evaluation metrics.
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