When you perform curve fitting, you fit a single function, in a least-squares sense, through all data points. This method contrast with interpolation, where piece-wise functions are fitted through adjacent data points.
To further analyze your data, or determine the suitability of the chosen regression, you may wish to apply other statistics functions for data analysis.
Linear and Median-Median Regression
• line, slope, intercept, stderr—Least-squares linear regression for data, and the standard error associated with linear regression
If you want to include additional information about the data or the parameters for any of the above fits, such as standard deviation in the data, bounds on the parameters, or constraint functions, you should use the LeastSquaresFit function to do the calculation in a more detailed way.
Other Functions
• linfit—Least-squares regression for an arbitrary linear combination of functions