Which of the following statements is not correct about error variance? Choose the correct options:
1. Error variance is self-compensating.
2. Error variance is both positive and negative.
3. Error variance is unpredictable.
4. Error variance is always negative.
Options:

Correct option is B

Error variance refers to the variability in data not attributable to the independent variable. It arises due to random factors affecting measurements, and its characteristics include unpredictability. It can take both positive and negative values but is not "always negative," making this statement incorrect.
Information Booster:
· Error Variance: Reflects measurement errors or random influences affecting the dependent variable.
· Found in regression and experimental designs.
· Not "always negative" as errors can add or subtract from true values.
· Self-compensating over a large number of observations.
· Methods to reduce error variance include increasing sample size and controlling extraneous variables.