Statistics LSRL

Slop

For every increase in one x, the model predicts there is an average increase/decrease in y.

Y-Intercept

If the x is 0, the model predicts y would be y-intercept.

Correlation Coefficient [r]

The correlation coefficient of r indicates that there is a strong/moderate/weak positive/negative linear relationship between y and x.

Coefficient of Determination [r²]

r² percent of the variability in y can be explained by the linear model/association with x.

Standard Deviation of Residuals [s]

The standard deviation of the residuals s measures the size of a typical residual. That is, s, measures the typical distance between the actual y values and the predicted y values.