When possible, the best way to esatblish that an observed association is the result of a cuase and effect relation is by means o
1 answer:
You might be interested in
First I let's represent our data in the table and make a scatter plot ( i attached the image).
Points labeled A are called data set.
Point labelled B is called the outlier. The outlier is a point that does not fit well with the rest of our data set. Posible reason for point B is that someone is super smart and they don't need to spend a lot of time studying to achieve good results.
PartB
We can see from the graph that the number of hours spent on social media and test scores are negatively correlated. See a scatter plot, I added the trend line.
In other words, the more hours you spend on social media the lower your test scores should be.
Points labeled A are called data set.
Point labelled B is called the outlier. The outlier is a point that does not fit well with the rest of our data set. Posible reason for point B is that someone is super smart and they don't need to spend a lot of time studying to achieve good results.
PartB
We can see from the graph that the number of hours spent on social media and test scores are negatively correlated. See a scatter plot, I added the trend line.
In other words, the more hours you spend on social media the lower your test scores should be.