The best estimate of the average change in the score on exam 2 associated with a 1 point increase in the score on exam 1 is 1 point. Option C is the right choice.
The scatter plot shows a positive linear relationship between the scores on exam 1 and exam 2. This means that students who score higher on exam 1 tend to also score higher on exam 2.
The slope of the line of best fit is 1, which indicates that the average change in the score on exam 2 associated with a 1 point increase in the score on exam 1 is 1 point.
The line of best fit intersects the y-axis at approximately 50 points. This means that a student who scores zero on exam 1 can be expected to score an average of 50 points on exam 2.
The line of best fit also intersects the x-axis at approximately 50 points. This means that a student who scores zero on exam 2 can be expected to score an average of 50 points on exam 1.
However, it is important to note that the line of best fit is just an average. There will be some students who score higher or lower on exam 2 than predicted by the line of best fit, even if they score the same on exam 1. This is because there are other factors that can affect a student's performance on exam 2, such as how well they studied for the exam and how they felt on the day of the exam.
Option C is the right choice.