No, it's not. Not in the sense you want it to be.

There is no direct relation between throughput and response times, they are
just two metrics that form a part of the bigger picture. Yes, sure, if one
metric were to change it may correlate with the other one and how this
happens tells you something that you may be able to use, but only in
conjunction with other metrics.

The text you have quoted appears to be describing an example situation,
something that happened once when John Doe was testing X application with Y
load, but it is not a prediction (it is trying to use past tense although it
fails at this in certain points). So in that example, maybe "it decreased as
the response time decreased" but that does not make it a hard and fast rule
that you can quote and rely on. You can NOT say "if throughput drops then so
will resp. times". This is simply false.

To fully get this, you need to gain a further understanding of what these
metrics actually are. You've already written the definitions yourself, so
now you need to imagine what situations could *potentially* cause throughput
to affect resp. times. - there's a lot of information out there on this,
shouldn't be hard. Google it and find an example that does not use an
electronic analogy; the logic remains the same.

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