[Solved] What is the output of this code?from scipy.stats import pearsonr x = [1, 2, 3, 4] y = [4, 3, 2, 1] result = pearsonr(x, y) print(round(result[0], 2)) | SciPy

SciPy - Statistical Tests

What is the output of this code?

from scipy.stats import pearsonr
x = [1, 2, 3, 4]
y = [4, 3, 2, 1]
result = pearsonr(x, y)
print(round(result[0], 2))

A-1.00

B1.00

C0.00

D0.50

Step-by-Step Solution

Solution:

Step 1: Understand data relationship
x increases from 1 to 4, y decreases from 4 to 1, so they have a perfect negative linear relationship.
Step 2: Calculate Pearson correlation
Perfect negative linear relationship means correlation is -1.00.
Final Answer:
-1.00 -> Option A
Quick Check:
Perfect negative correlation = -1.00 [OK]

Quick Trick: Opposite trends give -1 correlation [OK]

Common Mistakes:

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