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Correlation ( r )
The linear association between x-context and y-context is weak/moderate/strong (strength) and positive/negative (direction)
Residual
The actual y-context was residual above/below the predicted value when x-context= #
Y-intercept
The predicted y-context when x=0 context is y-intercept
Slope
The predicted y-context increases/decreases by slope for each additional x-context
Standard Deviation of Residuals (s)
The actual y-context is typically about s away from the value predicted by the LSRL
Coefficient of Determination (r2)
About r2% of the variation in y-context can be explained by the linear relationship with x-context.