Ellen, a political intern, analyzes poll data for Cal Stegall, a candidate for state legislature. She notices Stegall's populari
ty was highest after he gave three speeches on the need for tax reform. When she suggests to the team that Stegall should focus on tax reform closer to the election, the campaign manager points out that even if there is a correlation, that does not prove the speeches CAUSED the increase in popularity.
The campaign manager is correct since other favorable events could have boosted Stegall's popularity after those speeches.
Step-by-step explanation:
When analyzing data, it may be tempting to assume that a correlation between two variables indicates one variable caused the other. However, other factors may affect the data. In this example, The campaign manager is correct since other favorable events could have boosted Stegall's popularity after those speeches..
