– SEIS 632 Data Analytics and Visualization Assignment 3 Due:DescriptionSolution downloadThe Questionhere is the assignment for me, and I am kind of not understand those questions clearly.SEIS 632 Data Analytics and VisualizationAssignment 3Due: 2/25/16Predictive Modeling Using Regressiona. Return to the Organics diagram from Assignment 2. Attach the StatExplore tool to the ORGANICS data sourceand run it.b. In preparation for regression, is any missing values imputation needed?c. Add an Impute node to the diagram and connect it to the Data Partition node. Set the node to impute U forunknown class variable values and the overall mean for unknown interval variable values. Create imputationindicators for all imputed inputs.d. Add a Regression node to the diagram and connect it to the Impute node.e. Choose stepwise as the selection model and the validation error as the selection criterion.f. Run the Regression node and view the results.Which variables are included in the final model?What is the validation ASE?Submission:1) Answers to the questions asked above with justification.2) In the diagram, as a last node, add a Reporter node from the Utility tab. Change the Nodes property of the Reporternode to All. Now right click on the Reporter node and select Run. This will generate a pdf.3) Under the project panel in Enterprise Miner, expand the Diagrams tab and right click on the name of the diagram, selectSave As, to save the diagram as an XML file.You should submit the above 3 items in a zip folder on blackboard.
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