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ML Pythonprogramming~5 mins

Correlation analysis in ML Python - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is correlation analysis in simple terms?
Correlation analysis measures how two things move together. If one goes up and the other goes up too, they have a positive correlation. If one goes up and the other goes down, they have a negative correlation.
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beginner
What does a correlation coefficient of 0 mean?
A correlation coefficient of 0 means there is no linear relationship between the two variables. They do not move together in any predictable linear way.
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intermediate
Name two common methods to calculate correlation.
Two common methods are Pearson correlation (measures linear relationship) and Spearman correlation (measures monotonic relationship, good for ranked data).
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beginner
Why is correlation not the same as causation?
Correlation shows that two things move together, but it does not prove one causes the other. There could be other reasons or just coincidence.
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beginner
What is the range of values for the Pearson correlation coefficient?
The Pearson correlation coefficient ranges from -1 to 1. -1 means perfect negative correlation, 1 means perfect positive correlation, and 0 means no linear correlation.
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What does a correlation coefficient of -0.8 indicate?
AStrong positive correlation
BNo correlation
CPerfect correlation
DStrong negative correlation
Which correlation method is best for ranked data?
ASpearman correlation
BPearson correlation
CLinear regression
DK-means clustering
If two variables have a correlation coefficient of 0, what does it mean?
AThey have a perfect positive relationship
BThey have a perfect negative relationship
CThey have no linear relationship
DOne causes the other
Which of these statements is true about correlation?
ACorrelation measures how two variables move together
BCorrelation is only for categorical data
CCorrelation always equals 1
DCorrelation proves causation
What is the maximum value of the Pearson correlation coefficient?
A0
B1
C-1
D100
Explain in your own words what correlation analysis is and why it is useful.
Describe the difference between correlation and causation with an example.