The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is the

a. variance

b. standard error

c. residual

d. predicted interval

Option C. Residual

Step-by-step explanation:

Residuals are defined as:

Residual is the error that are not explained by the regression line.It is defined as the difference between observed value of dependent variable and the predicted variable.Residual = Observed value - Predicted value, where e is the residual.Residuals are the unexplained differences.

Thus,

The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is the residuals.

Option C. Residual

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