Which of the following is the correct way to define a custom model function for curve_fit that fits a line y = m*x + c?

easy📝 Syntax Q12 of 15

SciPy - Curve Fitting and Regression

Which of the following is the correct way to define a custom model function for curve_fit that fits a line y = m*x + c?

Adef model(m, c, x): return m + c * x

Bdef model(x, m, c): return m * x + c

Cdef model(x): return m * x + c

Ddef model(x, m, c): return m + c / x

Step-by-Step Solution

Solution:

Step 1: Check parameter order for curve_fit
The model function must have the independent variable as the first argument, followed by parameters to fit.
Step 2: Verify function matches y = m*x + c
def model(x, m, c): return m * x + c correctly defines model(x, m, c) returning m * x + c. Others have wrong order or formula.
Final Answer:
def model(x, m, c): return m * x + c -> Option B
Quick Check:
Model args: x first, then parameters [OK]

Quick Trick: Model function: x first, then parameters [OK]

Common Mistakes:

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