Describe the accuracy of experimental data using error and percent error.
Error in measurements: Observational / measurement / absolute
Observational error (or measurement error) is the difference between a measured value of a quantity and its actual or true value.
The value you come up with from data taken during an experiment. In this case, the slope of your line graph.
The factual or generally accepted value for a relationship. In this case, there are 2.54 centimeters per every inch.
Absolute error (or just error)
Absolute error is the actual amount you were off, or mistaken by, when measuring something.
Relative error compares the absolute error against the size of the thing you were measuring.
A statistical interval (range of values) within which, with some confidence level, a specified proportion of a sampled data population falls.
Percent difference is used when comparing two independent measurements of the same quantity to find out how much the measurements differ from one another.
Tyler DeWitt: Error and Percent Error
How to calculate error and percent error.