We construct a linear regression model to predict the values of the dependent variable. But it is not necessary that the dependent variable takes the values that the model predicts.

The residuals are the difference between the predicted and the actual values of the dependent variable. Hence the residuals measure the error in our model.

Simply input the values for the independent and dependent variables and the calculator will give the residual values.

**Linear Regression Equation:**

ŷ = 5.6631 + (1.4802)*x

**List of Residuals:**

-0.143

-3.104

1.896

-0.064

1.975

-0.906

1.133

-0.787