00:43 - creating models to predict volume from tree heights - models are equations that match the data from a table that reports matching diameter<->height<->volume depending on the area were trees are growing. More fertile areas (lower tarif classes) tend to have taller trees at a specific diameter (thinner tree trunk). 

03:20 - plotting the "relation" between two variables, in our case Volume (V) and Height (H) - V = f(H) - 

04:10 - adding a trendline to find a mathematical equation that best fits our data points. 

05:00 - "Best" is evaluated using the coefficient of determination (R2  R-squared)

05:30 - from the linear model to exponential model to fit best our data.

06:30 - parcels with tarif information - we have 3 parcels simulating different 3 tarif classes

07:30 - using excel to find the three exponential equations for three different tarif classes

09:20 - spatial join - join attributes by location process from the processing panel - NB click the "help" button at bottom right of the module window for more info on geometric predicates.

16:20 - the three tarif equations are defined in excel (NB - we are assuming the three equations to be of tarif III, IV and V - they are actually from tarif I, II and V, but the focus is to have three different equations to apply in the next video)