Question

which graph could you use to make the most accurate prediction? three scatter plots with x-axis points scored and y-axis wins, each with radio buttons

Explanation:

Step1: Understand the concept of correlation in scatter - plots

In a scatter - plot, a strong correlation (either positive or negative) allows for more accurate predictions. A positive correlation means that as one variable (in this case, points scored) increases, the other variable (wins) also increases.

Step2: Analyze the first graph

The first graph has a lot of scatter. The points are not closely clustered around an imaginary line of best - fit. This indicates a weak correlation.

Step3: Analyze the second graph

The second graph also has a significant amount of scatter. The points are more spread out, which means the relationship between points scored and wins is not very consistent.

Step4: Analyze the third graph

The third graph has points that are closely clustered around an imaginary line of best - fit. This indicates a strong positive correlation. When there is a strong correlation, we can make more accurate predictions using the line of best - fit (which can be approximated visually for prediction purposes in a simple case like this).

Answer:

The third graph (the one on the right)