Comparing models to fit data | Regression | Probability and Statistics | Khan Academy

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[Luykx]

OK, silly idea: what if you want to estimate x=10? Wouldn't model A be the better choice? The quadratic function starts to grow again, the exponential function stays low. So in the context of predicting prices of years to come, I'd assume answer A would be better!?

[Acleron]

Santa, below, mentions the problems with this type of analysis. The data clearly shows a decreasing price with age, there is no upturn past a certain point. Therefore neither model is particularly good. A best fit quadratic can be constructed to pass thru every point but that is unlikely to represent the reasons behind the data and is merely modelling the noise in the data. So a better answer though probably still incorrect would be the exponential model in the region required for prediction but even a hand drawn curve would represent the data better than either of those given.

[h.g.h.]

This is a really bad example of regression concept. Khan is a fabulous guy but i would suggest this video to be eliminated.