Linear and Nonlinear Regression in Python

What is the primary purpose of accessing the course website and downloading the zip folder?

• To download lecture notes

• To work on Assignment 15

• To watch video tutorials

• To access the course syllabus

Which function from Scipy is used for linear interpolation?

• interp2D

• curve_fit

• interp1D

• spline

What is the main advantage of using cubic splines over linear interpolation?

• Cubic splines provide a smoother and more continuous approximation

• Cubic splines require less data

• Cubic splines are easier to implement

• Cubic splines are faster to compute

How is the error between the linear interpolation and the exact function calculated?

• By subtracting the linear interpolation from the exact function

• By dividing the linear interpolation by the exact function

• By computing the absolute difference and scaling by the exact values

• By averaging the linear interpolation and the exact function

What is the purpose of creating a 4th order polynomial in the thermodynamic data analysis?

• To reduce computational time

• To simplify the data

• To eliminate outliers

• To fit the data across the entire temperature range

What is the maximum relative error found in the polynomial fitting section?

• 5.7%

• 36%

• 0.049%

• 4.9%

In the kinetic data analysis, what are the three unknown parameters in the model function?

• K, M, and E/R

• K, T, and E/R

• K, N, and E/R

• K, M, and T

Which Scipy function is used to fit the kinetic data model to the collected data?

• interp1D

• spline

• polyfit

• curve_fit

What is the role of the 'curve_fit' function in the kinetic data analysis?

• To plot the data

• To define a custom function

• To find the best-fit parameters for the model

• To calculate the error

What is the significance of defining a custom function in the curve fitting process?

• It allows for more accurate plotting

• It enables the use of specific parameters for fitting

• It simplifies the data collection process

• It reduces the computational load