Ranges for Linear Fits

After acquisition of data, it is sometimes essential to obtain rates.

For instance, in a yeast respiration experiment, the evolution of CO2 and the use of O2 are measured by the vernier probes as gas concentration per unit time, giving data that can be fit to get rates (i.e. %O2/s).

However, it is important that the fits be within an area of the data that is fairly linear.

Sometimes, therefore, choosing subsets of the raw data for the linear fits is very important. (However, these choices should be made rationally and systematically to avoid bias!)

Four images from real yeast respiration results (from experiments from last year) will be added to this page to illustrate this issue.

Please make sure this is clear to you!! (back and forth comments are the great thing about wikis!)