I'm having a dataset where I've measured the decay of a certain drug at different time intervals.
I have on measurement for each time interval, and I want to test if there is a correlation.
Straight forward is the use of a Simple Linear Regression. However I've read somewhere that a t-test (paired/unpaired) or ANOVA would work too. However in my case I have a hard time seeing this as I only have one dependent variable and one independedent variable and both are continous.
Data could look like this:
Time Conc 1 1000 2 750 3 250 4 75 5 0
Hope that someone can get me out of the loop my head is in after having read so much about the relationsship between these three methods.