❤️Hello!❤️For experimental data it may be good to use linear regression.
For precise data you do not need linear regression.
Step-by-step explanation: If you have a number of experimentally generated data points that are subject to inaccuracies then you can use something like linear regression to generate a linear model that fits the data reasonably well. Many modern calculators have a linear regression capability.
On the other hand, if you are given precise data, you should be able to generate a model that fits the data exactly. For example, given points ( x 1 , y 1 ) and ( x 2 , y 2 ) which are supposed to lie on a line, the equation of the line in point-slope form is: y − y 1 = m ( x − x 1) where m = y 2 − y 1 x 2 − x 1 from which we can derive the slope-intercept form: y = m x + c where c = y 1 − m x 1. ☯️Hope this helps!☯️ ↪️ Autumn ↩️
