What is omitted variables bias? *

A sample that’s too small.

Selection bias in a regression context.

Low correlation between variables of interest.

Another way of saying ceteris paribus.

Random assignment is an ideal weapon in the fight against selection bias because *

It generates apples-to-apples comparisons.

It generates an ideal R-squared value.

It’s easy to understand.

It’s easy to implement.

Regression attempts to simulate random assignment by: *

Eliminating observations that have no effect on the research question.

Ignoring similarities between people.

Controlling for factors that matter.

Ignoring similarities between people.