Answer:
Strong positive correlation (linear).
Explanation:
A scatter plot is a graphical representation of a dataset in which individual data points are plotted to display the relationship or correlation between two variables.
Correlation is a statistical measure that shows how two variables are related. It can be positive (both increase or decrease together), negative (one increases as the other decreases), or no correlation (no apparent relationship).
The strength of correlation is determined by the general pattern of data points. A tight clustering around a line suggests a strong correlation, with the degree of tightness indicating the strength. Conversely, more scattered points suggest a weaker correlation.
The general trend of the provided scatter plot shows that as one variable increases, the other also increases, which indicates a positive correlation. As the points are tightly clustered around a line, it indicates a strong correlation.