6. Define what positive, negative, and zero correlation is.
Correlation is a measure of how much two factors differ together and thereby how well one influences the other. You can have three kinds of correlations; positive, negative and zero. A negative correlation shows how the variables inversely relate, meaning one goes up and the other goes down. When plotting negative correlation on a graph this will most frequently reveal a descending pattern from left to right. On the other hand positive correlation reflects how two variables directly effect each other. For instance if they rise they rise together, or if they fall they fall together. This often will be shown by an ascending data pattern from left to right. In some instances there will be perfect correlation. While they rarely occur in the real world, they do happen. In these cases a perfect negative and positive correlation will show a straight line. On the flip side there is some information that reveals no correlation at all. This is known as zero correlation and will present itself as a scattered points randomly throughout your graph.
Artifact #1
This picture describes a zero correlation . The plots on this graph are randomized and show no positive or negative slope.
Artifact #2
The image on the left shows an ascending slope, this means that it has a positive correlation. The picture on the right reveals a descending slope, which tells us that the correlation is negative.
Correlation is a measure of how much two factors differ together and thereby how well one influences the other. You can have three kinds of correlations; positive, negative and zero. A negative correlation shows how the variables inversely relate, meaning one goes up and the other goes down. When plotting negative correlation on a graph this will most frequently reveal a descending pattern from left to right. On the other hand positive correlation reflects how two variables directly effect each other. For instance if they rise they rise together, or if they fall they fall together. This often will be shown by an ascending data pattern from left to right. In some instances there will be perfect correlation. While they rarely occur in the real world, they do happen. In these cases a perfect negative and positive correlation will show a straight line. On the flip side there is some information that reveals no correlation at all. This is known as zero correlation and will present itself as a scattered points randomly throughout your graph.
Artifact #1
This picture describes a zero correlation . The plots on this graph are randomized and show no positive or negative slope.
Artifact #2
The image on the left shows an ascending slope, this means that it has a positive correlation. The picture on the right reveals a descending slope, which tells us that the correlation is negative.