12.1 Linear Equations
y = a + bx, where a is the y-intercept and b is the slope. The variable x is the independent variable and y is the dependent variable.
12.4 Testing the Significance of the Correlation Coefficient (Optional)
Least-Squares Line or Line of Best Fit:
where a is the y-intercept and b is the slope.
Standard Deviation of the Residuals:
where SSE = sum of squared errors, and
n = the number of data points.