Question

read the text. correlation is the relationship between two variables. scientists use correlation to understand what usually happens to one variable if another variable changes - for instance, what happens to peoples weights as their heights increase. scientists can visualize correlation by plotting the values of two variables on a coordinate plane and then drawing a line that best fits those points. the slope of the \line of fit\ indicates the kind of relationship between the variables. a positive slope - a line rising from left to right - means theres a positive correlation. in the example of height and weight, this would mean that when height increases, so does weight. a negative slope - a line that drops from left to right - means theres a negative correlation, or when one variable increases, the other decreases. if there is no correlation (no relationship), then the line of fit is a flat line. which term matches the picture?

Explanation:

The scatter - plot shows a positive correlation as the points generally follow an upward - sloping trend. A positive correlation means that as one variable increases, the other variable also increases. The line of best fit for this data would have a positive slope.

Answer:

Positive correlation