Practice Visualize The Data (7.5) - Chapter 7: Supervised Learning – Logistic Regression

Practice: Visualize the Data

Lesson 7.5Supervised Learning – Logistic Regression

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9 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a scatter plot?
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Think about how we display relationships visually.
Question 2.
Why is data visualization important?
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Consider what you observe when looking at graphs.
3Question 3.
What does a scatter plot depict?
- Relationship between two variables
- A single variable over time
- Random data points
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Think about the axes on the plot!
4Question 4.
True or False: Correlation implies causation.
- True
- False
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Consider examples in real life where correlation doesn't imply causation.
Question 5.
Given a dataset of student performance (including variables like 'study hours', 'age', 'attendance'), create a scatter plot for two selected variables and analyze the correlation.
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Look carefully at which two variables might affect each other most.
Question 6.
Design an experiment to collect data on student study habits and exam results. How would you visualize your findings to best represent your data?
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Think about how you can visualize both study habits and outcomes effectively.

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