Sorry - I know this isn't strictly Python, and i'm more asking for a formula than code!
Usually Excel functions show how they are calculated but i can't find anything on this one!
So given a set of data, predict what the next value will be based on the previous values
No. It uses linear regression which (waving my hands broadly) amounts to finding the 'best possible' line through a set of points, and, given N-1 coordinates for a new point, guessing that the other coordinate puts the point on that line. With error bars. Least squares is a good but not unique way to decide where that 'best possible' line lies.
¿Shouldn't this thread be in the Computer Science forum?
Thanks very much,
do you know how i'd find the best fit line in Python though? Is it easily writeable?
My variable are independent of each other though - i am trying to predict the mean temperature of a day given the previous days' mean temperature, so the day is irrelevant - it's only the previous temperatures i'm concerned with.