When should I use regression?

You should use multiple linear regression when one data series (the dependent variable) is a function of or depends on other data series (the independent variables). For example, the yield of a lettuce crop depends on the amount of water provided, the hours of sunlight each day, and the amount of fertilizer used.

If you think one series depends on other data series, you should use regression for the dependent series. CB Predictor will use time-series forecasting methods on the independent variables.