What Is Omitted Variable Bias?

What is omitted variable bias in regression analysis?

• A type of error that occurs when too many variables are included.

• A type of selection bias that occurs when important control variables are not included.

• A statistical method used to simplify complex data sets.

• A bias that only affects studies related to academic performance.

What is generally observed about the relationship between academic achievement and earnings?

• They are inversely related; higher achievement leads to lower pay.

• There is no significant relationship between them.

• Higher academic achievement is often associated with higher earnings.

• Academic achievement only affects pay in certain industries.

In the example provided, what factor was identified as a potential omitted variable influencing both the number of books in a home and a child's academic achievement?

• The child's diet.

• The parents' IQ.

• The school's funding.

• The number of siblings a child has.

What is the primary effect of omitting a significant variable in a statistical analysis?

• It makes the analysis simpler and easier to understand.

• It has no impact on the perceived relationships between other variables.

• It can make an included variable appear more important than it actually is.

• It always leads to a complete reversal of the observed correlations.