Correlation or causation?

A good Data Scientist is able to identify the limitations of a study and distinguish between a mere correlation versus a causal relationship that A/B tests enable us to claim. The gen_habits DataFrame is loaded for you and has the columns monthly_orders and monthly_hours. The fictitious data is observational in nature (i.e. not part of a controlled experiment). Which of the following statements best describes the relationship between the two variables?

Possible answers

As monthly hours increase, monthly orders also increase.

There's a weak negative correlation between monthly_orders and monthly_hours and more hours cause orders to decrease.

There's a weak negative correlation between monthly_orders and monthly_hours and nothing can be inferred about causality.

There's a strong negative correlation between monthly_orders and monthly_hours and less hours cause orders to decrease.

Exercise

Correlation or causation?

Instructions

Possible answers