Fitting a Linear Line to Data Points

A line of best fit is a line that is the best approximation of a given set of data. This line can be linear, exponential, logarithmic, polynomial, a power average or a moving average and will depend on the type of data you have and the purpose of the approximated line. Your dataset can even be in 3 dimensions.

I'm only going to look at 2D data (ordered pairs) and the Least Square Method to find a straight line (y=mx+c) that best fit the given data points.



» Read more

Share

Linear Mapping of Input Range to Output Range

Whenever you mix sensor input values and electronics, you always get a situation where the data read from the sensor needs to be interpreted or changed or scaled to be used by your control software.

Mapping or scaling a linear range of input values to a linear range of output values is as easy as: y=mx+c

» Read more

Share