linear regression template (STAT)

interpret residual in context

the model over/underestimates by e for a x-variable of x=?

interpret y-intercept in context

when the x-variable is 0, the predicted y-variable is y-intercept

interpret Se in context

the actual y-variable is typically about Se away from the predicted y-value by the LSR model

interpret r² (coefficient of determination) in context

r²% of the variation of the y-variable is explained by the linear relationship between the x-variable and the y-variable

interpret slope (b) in context

for each one unit of the x-variable the predicted y-variable increases/decreases by slope

interpret r (correlation coefficient) in context

the correlation coefficient of r=# shows a strength, direction, form relationship/association between the x-variable and y-variable