Video Tutorials on Curve Fitting and Data Analysis with ndCurveMaster
QuickStart Guide
In this QuickStart guide video, we demonstrate how to automatically fit complex nonlinear regression equations to data containing 6 input variables and 1 output variable using ndCurveMaster. The process leverages advanced curve fitting techniques to discover hidden relationships within your data. As a result, ndCurveMaster uncovered the following equation based solely on the provided data:
Y = a0 + a1 ⋅ x1-5.5 + a2 ⋅ x2-2 + a3 ⋅ x31.8 + a4 ⋅ x43 + a5 ⋅ x55 + a6 ⋅ x66
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 ⋅ x21.5 + a3 ⋅ x33 + a4 ⋅ x41/2 + a5 ⋅ x50.05
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.
