Linear correlation refers to the relationship between two variables that can be represented by a straight line. It measures how closely the data points cluster around this line.
Think of linear correlation like a dance routine where two dancers move in sync with each other. If they are perfectly correlated, their movements will follow a straight line path together.
Positive Correlation: This term describes a linear relationship where both variables increase or decrease together.
Negative Correlation: This term describes a linear relationship where one variable increases while the other decreases.
Scatterplot: A scatterplot is a graph that displays the relationship between two variables using dots on a coordinate plane.
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