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import openturns as ot
import openturns.viewer as otv
dimension = 2
R = ot.CorrelationMatrix(dimension)
R[0, 1] = 0.8
distribution = ot.Normal([3.0] * dimension, [2.0] * dimension, R)
size = 100
sample = distribution.getSample(size)
firstSample = ot.Sample(size, 1)
secondSample = ot.Sample(size, 1)
for i in range(size):
firstSample[i] = ot.Point(1, sample[i, 0])
secondSample[i] = ot.Point(1, sample[i, 1])
lmtest = ot.LinearModelAlgorithm(firstSample, secondSample).getResult()
drawLinearModel = ot.VisualTest.DrawLinearModel(lmtest)
otv.View(drawLinearModel, figure_kw={"figsize": (5, 5)})
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