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Linear regression is a mathematical technique used to estimate the relationship between two variables. It is used when the relationship between the two variables is linear (meaning that it follows a straight line).
The linear regression equation looks like this: y = ax + b, where y is the predicted value, x is the independent variable (the one we are trying to predict), a is the slope of the line, and b is the y-intercept.
If we know the values of a and b, we can use the equation to predict the value of y for any given x. We can also use linear regression to determine how strong (or weak) the relationship between x and y actually is.
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