Practice Visualizing The Data (6.4) - Chapter 6: Supervised Learning – Linear Regression

Practice: Visualizing the Data

Lesson 6.4Supervised Learning – Linear Regression

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8 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What is a scatter plot?
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Think about the variables being plotted.
Question 2.
Name a library used in Python for data visualization.
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Consider the plotting libraries available in Python.
3Question 3.
What type of plot is used to understand the relationship between two variables?
- Pie Chart
- Scatter Plot
- Line Plot
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Consider visualizing two dimensions.
4Question 4.
True or False: Labeling axes is unnecessary in data visualization.
- True
- False
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Why do we need labels for axes?
Question 5.
Using a dataset consisting of various years of experience and respective salaries, create a scatter plot and explain how the plot indicates the correlation between the two variables. Discuss any evident outliers.
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Reflect on the data's structure and verify against your assumptions for the model.
Question 6.
If given a dataset where there's a nonlinear relationship between experience and salary, what visualization technique would you consider instead of a scatter plot? Justify your response.
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Rethink how data behaves when not following a linear trend.

4 more questions in this section. Enroll free to practise them all.