[Solved] What will be the output of this code snippet?from scipy.stats import pearsonr x = [10, 20, 30, 40, 50] y = [15, 25, 35, 45, 55] corr, p_val = pearsonr(x, y) print(round(corr, 3)) | SciPy

SciPy - Statistical Tests

What will be the output of this code snippet?

from scipy.stats import pearsonr
x = [10, 20, 30, 40, 50]
y = [15, 25, 35, 45, 55]
corr, p_val = pearsonr(x, y)
print(round(corr, 3))

A1.000

B0.000

C-1.000

D0.500

Step-by-Step Solution

Solution:

Step 1: Analyze the data
Both x and y increase linearly with a perfect positive linear relationship.
Step 2: Calculate Pearson correlation
Since y is a perfect linear function of x (y = x + 5), the correlation coefficient is 1.
Final Answer:
1.000 -> Option A
Quick Check:
Perfect positive linear relation means correlation = 1 [OK]

Quick Trick: Perfect linear increase means correlation = 1 [OK]

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