A linear relationship is a relationship between two variables where the change in one variable is proportional to the change in the other. This relationship can be represented by a straight line on a graph using the equation $y = mx + b$.
5 Must Know Facts For Your Next Test
The slope ($m$) of the line indicates the rate of change between the variables.
The y-intercept ($b$) is the point where the line crosses the y-axis.
A positive slope means that as one variable increases, so does the other; a negative slope means that as one variable increases, the other decreases.
Linear relationships can be used to make predictions about data points not explicitly given.
The correlation coefficient ($r$) measures how well data fits a linear model, with $r = 1$ or $r = -1$ indicating a perfect fit.