APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Which example shows CAUSATION? (Which one CAUSED the other to happen?)
|
|
High social media usage and reduced grades.
|
|
|
Car ran out of gas and being stranded on the side of the road.
|
|
|
Recess time and number of friends.
|
|
|
A person’s age and what kind of cereal they eat.
|
Explanation:
Detailed explanation-1: -"Correlation is not causation” means that just because two things correlate does not necessarily mean that one causes the other. As a seasonal example, just because people in the UK tend to spend more in the shops when it’s cold and less when it’s hot doesn’t mean cold weather causes frenzied high-street spending.
Detailed explanation-2: -Theoretically, the difference between the two types of relationships are easy to identify-an action or occurrence can cause another (e.g. smoking causes an increase in the risk of developing lung cancer), or it can correlate with another (e.g. smoking is correlated with alcoholism, but it does not cause alcoholism).
There is 1 question to complete.