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  4. Correlation and Regression Lines - A quick recap #3
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Correlation and Regression Lines - A quick recap #3

  • kyrjian
     + 0 comments

    no idea why not work pythonic

    import numpy as np

P = np.array([15, 12, 8, 8, 7, 7, 7, 6, 5, 3])
H = np.array([10, 25, 17, 11, 13, 17, 20, 13, 9, 15])

fit = np.polyfit(P, H, deg=1)
a = fit[0]
b = fit[1]

pred = a * 10 + b
print(round(pred, 1))

    R 

    x <- c(15, 12, 8, 8, 7, 7, 7, 6, 5, 3)
y <- c(10, 25, 17, 11, 13, 17, 20, 13, 9, 15) 
linearMod <- lm(y ~ x)
pred <- as.vector(linearMod$coefficients)[1] + as.vector(linearMod$coefficients)[2]*10
round(pred,1)