Correlation is a technique that help us to find or define a relationship between two variables.
It is a measure of linear relationship between two quantities.
A positive correlation means that an increase in one quantity leads to an increase in another quantity
A negative correlation means with increase in one quantity the other quantity decreases.
Looking at the graph it could be said that the variables are strongly positively correlated as with a small increase in one variable, the other variable increases.
It is not a perfect positive relation as change in one variable does not lead to equal change in other variable.
The correlation that is shown in the scatter plot is:
Strong positive.
<h2>Step-by-step explanation:</h2>
From the scatter plot we see that with the increase of one variable the second variable also increases.
Hence, the association is positive.
Also, if we draw a trend line that best represents the scatter plot then not all the points will lie above the line but all the data points are either over the line or very close to the line this means that the correlation coefficient is close to 1 but not exactly equal to 1.
Hence, the correlation is:
Strong positive.
( For perfect positive all the data points should lie above that line i.e. correlation coefficient must be equal to 1)
