Python Assessment: Multivariate Analysis :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1. Question 1

Is the relationship between ‘Height’ and ‘Wingspan’ linear?

• ✅ Yes

• ❌ No

Explanation:
In the Cartwheel dataset, height and wingspan are strongly positively correlated, showing a clear linear relationship.

---

2. Question 2

Is the relationship between ‘Wingspan’ and ‘Height’ linear for each gender?

• ❌ Yes

• ✅ No

Explanation:
When split by gender, the linear pattern weakens and becomes inconsistent across groups, so it is not clearly linear for each gender.

---

3. Question 3

Is the interquartile range (IQR) of ‘CWDistance’ similar to ‘Wingspan’?

• ❌ Yes

• ✅ No

Explanation:
The spread (IQR) of CWDistance is much larger and more variable compared to Wingspan, so they are not similar.

---

4. Question 4

Looking at the barplot of ‘Glasses’ and ‘CWDistance’, which group has a slightly larger cartwheel distance?

• ❌ Glasses-Y

• ✅ Glasses-N

Explanation:
The no-glasses group (Glasses-N) shows a slightly higher average CWDistance.

---

5. Question 5

Barplot of ‘Glasses’ and ‘CWDistance’ split by gender — which condition has a larger estimate?

• ❌ Glasses-Y

• ❌ Glasses-N

• ✅ The results are different for each gender.

Explanation:
When separated by gender, one gender shows slightly higher distance for glasses-Y while the other shows higher for glasses-N. So the pattern is not consistent.

---

🧾 Summary Table

---