Practice Karl Pearson’s Coefficient Of Correlation (6.3.1)

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10 questions

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6 sample questions

Question 1.
Define correlation.
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Think about how two things relate to each other.
Question 2.
What does a positive correlation mean?
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Consider variables that typically rise together, like income and expenditure.
3Question 3.
What is the range of Pearson's correlation coefficient?
- 0 to 1
- -1 to 1
- -∞ to ∞
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Visualize the graph showing extremes.
4Question 4.
Are correlation and causation the same?
- True
- False
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Think of examples where two events occur together without cause.
Question 5.
Calculate the Karl Pearson’s coefficient for the following sets of data on the heights and weights of students: Heights (in cm) = [150, 160, 170, 180] and Weights (in kg) = [50, 60, 65, 70].
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Remember to standardize using the variance.
Question 6.
Discuss a case where correlation was mistaken for causation in marketing data and explain the consequences.
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Reflect on the importance of critical analysis of data before conclusions.

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