What's the difference between dependent and independent variables?

Dependent and independent variables are only used for multiple linear regression. In regression, the dependent variable is the variable (data series) that depends on or is a function of other variables, called independent variables. The dependent variable is forecast using multiple linear regression. The independent variables are automatically forecast using time-series forecasting methods (all the ones listed in the Method Gallery). 

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. The lettuce yield is the dependent variable, and the amount of water provided, hours of sunlight, and amount of fertilizer are the independent variables. The independent variables are forecasted using the time-series forecasting methods listed in the Method Gallery, and their forecasted values are used in a formula to calculate the dependent variable forecasted values.