Correlations refer to the statistical relationship between two or more variables. It measures how closely these variables are related to each other, ranging from -1 (perfect negative correlation) to 1 (perfect positive correlation).
Think of correlations like a dance partner. If you and your partner move in sync with each other, it indicates a strong positive correlation. On the other hand, if you and your partner move in opposite directions, it represents a strong negative correlation.
Scatterplot: A scatterplot is a graph that displays the relationship between two variables by plotting their values on a Cartesian plane. It helps visualize correlations.
Pearson's Correlation Coefficient: This coefficient quantifies the strength and direction of the linear relationship between two variables. It ranges from -1 to 1.
Causation: While correlations show a relationship between variables, causation refers to one variable directly causing changes in another variable.
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