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The y-axis is the metric of the dependent variable.
Metric data is any reading which is at least at an interval scale, as opposed to non metric data, which can be nominal or ordinal. Weight, height, distance, revenue, cost etc. are interval scales or above. Hence they are metric data. On the other hand, satisfaction ratings, Yes/No responses, Male/Female readings etc., are non metric data.
Too many unknown variables to answer ! What size are the drums, are the drums empty, if not - what is the density of the substance they're filled with...
since centimeters are a form of lenghth in the metric system, all the upcoming variables will be 10x that number 10 mm=1 cm and so on
A metric is whatever you use to numerically evaluate a variable - for sales the metric could be number of units sold, for politicians it could be poll results and for the Olympics it could be gold medals won. In many cases, however, the term "metric" is the common term used for the International System of Units (abbreviated SI from French: Le Système international d'unités) of weights and measures based on the gram, meter and second.