Complete assignment 2

[tanveerrouf]

UofT-DSI - LCR - Assignment -2

1. What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
   Ans: I completed the assignment_2.ipynb notebook: cleaned up the workflow, ran all cells end‑to‑end, and added the required regression analysis, plots, and short interpretations.

2. What did you learn from the changes you have made?
   Ans: This pushed me to get more comfortable fitting and comparing linear regression models, thinking about what the coefficients actually mean, and checking whether the model assumptions show up in the residual plots.

3. Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
   Ans: I briefly considered adding more complex models (e.g., polynomial terms or regularization), but stayed with the approaches outlined in the assignment so the work stays aligned with the learning goals.

4. Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
   Ans: I ran into some small issues getting the train/test split and evaluation metric set up correctly, and a couple of shape/type errors in pandas/sklearn; I fixed them by stepping through the code slowly, re‑reading the instructions, and checking the documentation.

5. How were these changes tested?
   Ans: I restarted the kernel and ran the entire notebook from top to bottom to make sure everything executes without errors and that the results/plots look reasonable.

6. A reference to a related issue in your repository (if applicable)
   Ans: N/A

7. Checklist
   Ans: I can confirm that my changes are working as intended

[PatelVishakh]

Assignment 2: Complete, Great Work!
Suggested changes:
Q2) I) when model year increases on average the MPG goes down.