Linear Regression

Linear regression predicts the value of a dependent variable from the value of an independent variable. It models the relationship between the variables as a linear equation, and fits a line that minimizes the differences between the predicted and actual values.

Sampling interval: Sampling intervals are 1m, 2m, 3m, 5m, 10m, 15m, 30m, 1h, and 2h.

Numeric parameter: Has the possible values of 1, 2, or 3.

For an in-depth discussion of the algorithm, see predict_linear() in Prometheus Functions.