def getLinearModel(x_values, y_values, k=1.0, l=1.0):
gradient, intercept, r_value, p_value, std_err = stats.linregress(x_values,y_values)
y_model = []
grad = k*gradient
interc = l*intercept
for x in x_values:
y = trendline(x, grad, interc)
y_model.append(y)
return y_model
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