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№ 9343 В разделе "Программирование" от September 3rd, 2018,
import csv def linreg(X, Y): """ return a,b in solution to y = ax + b such that root mean square distance between trend line and original points is minimized """ N = len(X) Sx = Sy = Sxx = Syy = Sxy = 0.0 for x, y in zip(X, Y): Sx = Sx + x Sy = Sy + y Sxx = Sxx + x*x Syy = Syy + y*y Sxy = Sxy + x*y det = Sxx * N - Sx * Sx return (Sxy * N - Sy * Sx)/det, (Sxx * Sy - Sx * Sxy)/det x = [12, 34, 29, 38, 34, 51, 29, 34, 47, 34, 55, 94, 68, 81] a,b = linreg(range(len(x)),x) #your x,y are switched from standard notation extrapolatedtrendline=[a*index + b for index in range(len(x))] with open('open_in_calc.csv','w') as csvfile: spamwriter = csv.writer(csvfile, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(x) spamwriter.writerow(extrapolatedtrendline)
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