A standardized residual is a residual that has been divided by its standard deviation. It is calculated as:

r_i = e_i / RSE√1-h_ii

where:

• e_i: The i^th residual
• RSE: The residual standard error of the model
• h_ii: The leverage of the i^th observation

This calculator finds the standardized residuals for each observation in a simple linear regression model.

Simply enter a list of values for a predictor variable and a response variable in the boxes below, then click the “Calculate” button:

8, 12, 12, 13, 14, 16, 17, 22, 24, 26, 29, 30

41, 42, 39, 37, 35, 39, 45, 46, 39, 49, 55, 57

Linear Regression Equation:

ŷ = 29.6309 + (0.7553)*x

List of Standardized Residuals:

-0.143
-3.104
1.896
-0.064
1.975
-0.906
1.133
-0.787