7 min read
This study guide covers correlation and regression, focusing on linear relationships. Key topics include: correlation vs. causation, identifying confounding variables, the importance of large sample sizes and repetition, differentiating between random and systematic errors, and understanding the impact of these errors on data analysis. It also provides practice questions and exam tips for the AP Statistics exam.
Give us your feedback and let us know how we can improve
Question 1 of 10
A study shows a link between ice cream sales and the number of sunburns. What does this correlation MOSTLY suggest?🍦
Increased ice cream sales cause sunburns
Sunburns cause people to buy more ice cream
There might be a third factor influencing both
There is absolutely no relationship between the two