Final answer:
To determine the amount of time someone should study to expect a quiz score of 96, we can use the equation of the line of best fit. However, the equation is not provided, so we can only make a prediction based on the given information.
Step-by-step explanation:
The line of best fit in this case represents the relationship between the number of hours a student studies and their quiz scores. To determine how much time someone should study to expect a quiz score of 96, we can use the equation of the line of best fit. Let's say the equation is y = mx + b, where y represents the quiz score and x represents the number of hours studied.
From the given data, we don't have the equation of the line of best fit. However, we can still make a prediction based on the given information. If we assume that the line of best fit is a straight line, we can find the slope (m) and the y-intercept (b) from any two points on the line. Then we can substitute the x-value (number of hours studied) as the unknown and solve for y (quiz score).
Since we don't have the equation of the line, I'm unable to provide a specific answer for this problem. However, if you are given the equation of the line of best fit, you can substitute x = 96 into the equation and solve for y to find the expected quiz score.