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You would expect that to be the case, however, by default seaborn.pointplot uses the average estimator to calculate the number for each hour. So the numbers you are seeing on the y-axis is the average number of bikes shared for each hour. Since the number of bikes shared is not equal for category workingday=0 and workingday=1 the two averages for those ...


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I had the same problem, solved by moving y axis: ax.set_ylim([0,2])


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"lm" = "linear model". As reported in the docs: Plot data and regression model fits across a FacetGrid. [...] It is intended as a convenient interface to fit regression models across conditional subsets of a dataset.


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Why to use Residual Plots? A residual is a difference between the observed y-value (from scatter plot) and the predicted y-value (from regression equation line). A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis. If the points in a residual plot are randomly dispersed around the ...


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