2- Choose the most correct statement from the options below: a) Linear interpolation is always exact for any two data points, regardless of the actual behaviour b) Extrapolation beyond the table's highest or lowest temperature can yield large errors and should be avoided unless no other data exist. c) Visual estimates (without a formula) are sufficient if the data do not vary drastically.

Linear interpolation is a neat trick often employed in mathematics and data analysis! It's precise for the two data points you pick, but it's important to remember that this method may oversimplify situations where the actual data has a curve or varied behavior in between. Meanwhile, extrapolation can be a bit of a wild card; going beyond your data points is risky and can lead to unreliable predictions, especially if the data has not shown consistent movement. If you’re working with data that’s somewhat stable, relying on your intuition can sometimes work wonders! Visual estimates can give you a quick and handy insight, but be cautious – even small fluctuations can throw off your estimates, so always back them up with solid reasoning or calculations when possible!