Instructions- Provide the python code and the mathematical equation.

2.) Perform a polynomial regression using orders 2, 3, 4, and 5 on all the attributes.

X	Y	Z	Out
0.03242	0.974273	0.994142	3
0.170399	0.867565	0.883816	9
0.286935	0.04752	0.827146	18
0.331351	0.819748	0.812681	20
0.356502	0.255186	0.77656	32
0.377693	0.697032	0.745939	34
0.430754	0.57115	0.71584	36
0.430906	0.659177	0.690477	55
0.493918	0.64866	0.664306	66
0.571127	0.62422	0.624368	68
0.589867	0.64797	0.569055	72
0.721042	0.630403	0.535076	76
0.734787	0.079293	0.498173	99
0.763741	0.64668	0.361384	102
0.834348	0.348698	0.207515	111
0.862977	0.810081	0.182405	114
0.887153	0.171466	0.169805	116
0.898905	0.19058	0.113373	121
0.942401	0.827727	0.104913	126
0.956432	0.478804	0.012389	131