Unstandardized measure of shared variance limited by units

Optimization algorithm that minimizes squared errors to estimate parameters

The uncertainty remaining after fitting the model to the data

Should be judged by magnitude (effect size), not p-values

Magnitude of change in f(x) resulting from a change in x

The fundamental form of most statistical models

The regression model collapses to the Mean of Y (flat line)

Standardized measure of association bounded between -1 and 1

Necessary to detect non-linear relationships (e.g., U-shaped) missed by r

The value of the function when X is zero (crosses y-axis)