Reword the following answer: Without the actual graph or best-fit line, it's impossible to accurately answer this question. However, if we assume a linear relationship and the best-fit line is provided, you can use the line to predict the time spent on video games for a specific day. ## Interpreting a Best-Fit Line A best-fit line, also known as a line of best fit or trend line, is a straight line drawn through the center of a group of data points plotted on a scatter plot. It best represents the data and can be used to predict future values. To interpret the best-fit line: 1. **Identify the slope and y-intercept of the line.** The slope represents the rate of change, while the y-intercept represents the starting point if the value of x is zero. 2. **Use the line to predict y-values for given x-values.** For example, if the line passes through (6,50), it means that they spent 50 minutes playing video games on Day 6. 3. **Check the reliability of your prediction.** Remember that the best-fit line is a prediction based on the given data. It may not be 100% accurate, especially for values outside the range of the given data (extrapolation). Without the actual graph, we can't definitively say whether options a or b are true. However, if the best-fit line suggests these values for days 6 and 8, then those statements could be accurate