[Solved] What is wrong with this code snippet for polynomial fitting?import numpy as np from scipy import polyfit, polyval x = np.array([1, 2, 3]) y = np.... | SciPy

SciPy - Curve Fitting and Regression

What is wrong with this code snippet for polynomial fitting?

import numpy as np
from scipy import polyfit, polyval
x = np.array([1, 2, 3])
y = np.array([2, 4, 6])
coeffs = polyfit(x, y, 2)
fitted = polyval(coeffs, x)
print(fitted)

AThe code is correct and will run without errors.

BThe arrays x and y must be lists, not numpy arrays.

CThe degree 2 polynomial is too high for 3 points; use degree 1 instead.

Dpolyval cannot be used with coefficients from polyfit.

Step-by-Step Solution

Solution:

Step 1: Check polynomial degree vs data points
Fitting a degree 2 polynomial to 3 points is mathematically valid and will produce a polynomial that fits all points exactly.
Step 2: Validate data types and function usage
Using numpy arrays is correct; polyval works with polyfit coefficients; no syntax errors present.
Final Answer:
The code is correct and will run without errors. -> Option A
Quick Check:
Degree 2 polynomial with 3 points = code runs fine [OK]

Quick Trick: Degree equal to number of points minus one fits exactly [OK]

Common Mistakes:

Using too high polynomial degree for few points
Thinking numpy arrays are invalid input
Believing polyval can't use polyfit output

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What is wrong with this code snippet for polynomial fitting?

Step 1: Check polynomial degree vs data points

Step 2: Validate data types and function usage

Final Answer:

Quick Check:

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