**/**Curve Fitting Assignment Homework Help

**Curve Fitting** can be defined as the empirical determination of a curve or function that approximates a set of data. Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a "smooth" function is constructed that approximately fits the data.

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- Changing Appearance of Curve Fit Lines
- Curve fitting by polynomial regression
- Custom Linear and Nonlinear Regression
- Displaying the Curve Fit Equation
- Entering a Custom Curve Fit Definition
- Exponential Curve Fitting
- Fitting Equations with Multiple Independent Variables
- Forcing a Linear Fit Through the Origin
- Getting Curve Fit Values into the Data Window
- Interpreting Regression & Curve Fit Results
- KaleidaGraph’s Smooth & Least Squares Curve Fits
- Least Squares Curve Fits
- Linear and Nonlinear Regression
- Logarithmic & Power Function Curve Fitting
- Minimum mean square error method
- Nonlinear & Polynomial Curve Fitting
- Programmatic Curve and Surface Fitting
- The General Curve Fit and the Macro Calculator
- The KaleidaGraph Guide to Curve Fitting