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Python help What would be suitable where the missing code goes? The #? spot import numpy as np from scipy.optimize import curve_fit import matplotlib.pyplot as
Python help
What would be suitable where the missing code goes? The #? spot
import numpy as np
from scipy.optimize import curve_fit
import matplotlib.pyplot as pyplot
from math import floor, ceil
def RSquared(x,y,coeff):
AvgY=np.mean(y) #calculates the average value of y
SSTot=0
SSRes=0
ymodel=Poly(x,*coeff)
for i in range(len(y)):
SSTot+=(y[i]-AvgY)**2
SSRes+=(y[i]-ymodel[i])**2
RSq= ?
return RSq
def Poly(xdata, *a):
y = np.zeros_like(xdata)
power = len(a)-1
for i in range(power+1):
for j in range(len(xdata)):
x=xdata[j]
c=a[i]
y[j] += c*x**i
return y
def PlotLeastSquares(x, y, coeff, showpoints=True, npoints=500):
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