For this Assignment, using the Education dataset, you will build a regression tree

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

For this Assignment, using the Education dataset, you will build a regression tree (first a binary tree, then a non-binary tree). You will then provide an explanation and evaluation of the results using evidence from your results/data to support you.

 

RESOURCES

 Be sure to review the Learning Resources before completing this activity.

Click the weekly resources link to access the resources. 

WEEKLY RESOURCES

TO PREPARE

• Review this week’s Learning Resources and consider the examples illustrating Fermi estimation and regression trees.

• Review the media programs in this week’s Learning Resources and consider the SPSS techniques you will need to perform for this Assignment.

• Review the Education dataset that your Instructor has uploaded to the DocSharing area, and import it into SPSS for this Assignment.

Note: You may choose to work with a partner for this Assignment. This is optional.

ASSIGNMENT: (1–2 PAGES FOR ANALYSIS AND 1–2 PAGES FOR OUTPUT/RESULTS)

• Use the Education dataset in SPSS.

Note: This dataset contains demographic indicators for each state in the U.S.

• Predict the expenditure level (expend) based on the following variables: Urban, income, and teen.

Note: Each variable is described in its label.

• Build a regression tree (first a binary tree, then a non-binary tree).

• Provide a thorough analysis of your results. Use evidence from your results/data to support your explanation.

Include both your written analysis and your data output/results for this Assignment.

Attachments:

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