CRISP-DM data mining has four levels: abstractions phase, generic task, specialized task, and process interface, which constitute a hierarchical process model.
In this assignment, employ the CRISP-DM data mining stages. Apply the methodology to this assignment, providing all the tasks necessary to follow the hierarchical process.
Write a 1,500 to 1,750-word report using the “Midterm and Final Exams Table” to address the following:
- Define CRISP-DM and the step cycles.
- Identify business understandings, the data, and data preparation.
- Create a model that will justify the data prepared.
- Analyze the results from the model and deploy the data.
- Plot the data. Do x and y seem to have a linear relationship?
- Use the method of least squares to find an equation for the prediction of a student’s final exam grade based on the student’s midterm grade in the course.
- Predict the final exam grade of a student who received an 86% on the midterm exam.
Prepare this assignment according to APA Style.
Midterm and Final Exams Table
| X | Y |
| Midterm Exam | Final Exam |
| 72 | 84 |
| 50 | 63 |
| 81 | 77 |
| 74 | 78 |
| 94 | 90 |
| 86 | 75 |
| 59 | 49 |
| 83 | 79 |
| 65 | 77 |
| 33 | 52 |
| 88 | 74 |
| 81 | 90 |
Requirements: 1,500 – 1,750 words
