FAQ: Multiple Linear Regression - Visualizing Results with Matplotlib

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This community-built FAQ covers the “Visualizing Results with Matplotlib” exercise from the lesson “Multiple Linear Regression”.

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This exercise can be found in the following Codecademy content:

Machine Learning

FAQs on the exercise Visualizing Results with Matplotlib

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2

Hello there ! just one question, how does this scatterplot give us hint on " how the independent variables impact prices". Are we close to the real values ? How do i know by this plot that my predictions are almost right ? is not another solution to plot actual y and predicted ones so what in an instant lookup we can see the differences like two side by side histograms ! Thanks !

6 Likes
3

my guess is that the closer to the center - the better the prediction - which is why there is a glut around a slope of 1?

4

How to print in different colors, predicted results? think this would show perfectly the difference

5

Guess this would do the thing to show in colors and difference, as we have 708 rows in test batch so we need to plot each row as a colored dot.

plt.scatter(range(708), y_predict, c=“red”)

plt.scatter(range(708), y_test, c=“blue”)

plt.show()

6

I had a same question and guess I solved with this:

plt.scatter(range(708), y_predict, c=“red”)

plt.scatter(range(708), y_test, c=“blue”)

plt.show()

Original plot is good too as dots line up more on diagonal as more are equal but for me colored ones seems to show difference more easy