Video Tutorials on Curve Fitting and Data Analysis with ndCurveMaster

How to Curve Fit with 5 Variables Using ndCurveMaster

In this tutorial video, we explore a more detailed approach to discovering complex models using 5 input variables with ndCurveMaster. This video demonstrates how to assess model quality, including:

• Checking the fit accuracy of the model.
• Analyzing multicollinearity using the Variance Inflation Factor (VIF).
• Evaluating the significance of variables through statistical methods.
• Inspecting variable relationships using the Pearson correlation matrix.

The discovered model, as shown in the video, is represented by the following equation:

Y = a₀ + a₁ ⋅ x₁² + a₂ ⋅ x₂^1.5 + a₃ ⋅ x₃³ + a₄ ⋅ x₄^1/2 + a₅ ⋅ x₅^0.05

How to Discover Coulomb's Physical Equation with ndCurveMaster

In this demonstration video, we showcase the use of ndCurveMaster to automatically discover fundamental physical equations based on data. Using 4 variables containing measurement data, ndCurveMaster analyzed the dataset and formulated the following relationship:

F = a₁ ⋅ Q₁ ⋅ Q₂ ⋅ r^-2

This equation represents the well-known fundamental law of physics: Coulomb's law. The video explains in detail how ndCurveMaster:

• Processes measurement data to uncover mathematical relationships.
• Uses curve fitting and nonlinear regression techniques to identify key dependencies.
• Automates the discovery of scientifically significant models.

Watch the video now to see how ndCurveMaster simplifies data analysis and uncovers hidden insights in complex datasets.