Python Code in 2.7, thanks!

A polynomial p(t) of degree n is defined as: p(t) = antn + an-t"- + + alt + a0 Forn 0,1,... , 5, fit a polynomial of degree n by least squares to the following data: t 0.0 1.0 2.0 3.0 4.0 5.0 p(t) 1.0 2.7 5.8 6.6 7.5 9.9 Make a plot of the original data points along with each resulting polynomial curve (you may make separate graphs for each curve, or a single graph containing all of the curves). Which polynomial would you say captures the general trend of the data better