![]() ![]() Yl = power * xl ** 2 + slope * xl + intercept The linear regression fit is obtained with numpy.polyfit(x. Python3 import seaborn as sb df sb.loaddataset ('iris') sb. There are a number of mutually exclusive options for estimating the regression model.
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