Linearizing Data

>>8723002
Try changing y axis to log2(x) values. If you had a quadratic function you would make the Y axis look like 1,4,8 etc

>>8723014
Alternatively do the reverse with X axis and mark it as y(x)^(-1) = 2^x.

File: ok computer.jpg (10KB, 225x225px) Image search: [Google]

10KB, 225x225px

>>8723014
So it kind of worked, I guess. But I would also need to explain why I chose to do this, so why (in Leyman's terms, if possible) is this an effective way to linearize it?

>>8723029
Because log2(y) = log2(x) is the same thing as y=x which is linear.

>>8723029
I was kinda going off memory but it's probably way better to do this>>8723018
Especially since you would need to put minus infinity on Y scale.

>>8723002
>How would you go about linearizing a graph like this?
Restate all values as natural log

>>8723002
2^(y)

>>8723441
This

>>8723002
do the opposite if a logarithm.