Assess your Course 5 end-of-course project :Regression Analysis: Simplify Complex Data Relationships (Google Advanced Data Analytics Professional Certificate) Answers 2025
1. Applicable packages and libraries were imported.
⬜ Yes
⬜ No
2. EDA purposes identified before modeling.
⬜ Yes
⬜ No
3. Used head(), info(), describe() during EDA.
⬜ Yes
⬜ No
4. Made visualizations to identify outliers.
⬜ Yes
⬜ No
5. Made visualizations to check correlations.
⬜ Yes
⬜ No
6. X and Y variables were set correctly.
⬜ Yes
⬜ No
7. Regression assumptions were checked.
⬜ Yes
⬜ No
8. Regression model was evaluated.
⬜ Yes
⬜ No
9. Visualizations showing regression results were created.
⬜ Yes
⬜ No
10. All notebook questions were answered.
⬜ Yes
⬜ No
11. All PACE strategy document questions were answered.
⬜ Yes
⬜ No
12. Executive summary included regression assumption summary.
⬜ Yes
⬜ No
13. Executive summary identified project outcome.
⬜ Yes
⬜ No
🧾 Summary Table (Auto-fill after you choose Yes/No)
| Q No. | Description | Your Answer |
|---|---|---|
| 1 | Imports added | ___ |
| 2 | EDA purpose identified | ___ |
| 3 | head/info/describe used | ___ |
| 4 | Outlier visualizations | ___ |
| 5 | Correlation visualizations | ___ |
| 6 | X and Y set | ___ |
| 7 | Regression assumptions checked | ___ |
| 8 | Model evaluated | ___ |
| 9 | Regression visualizations created | ___ |
| 10 | Notebook questions answered | ___ |
| 11 | PACE questions answered | ___ |
| 12 | Summary included assumptions | ___ |
| 13 | Summary included project outcome | ___ |