Answer:
Explanation:
The red line appears to be a good fit for the data because it passes through the center of the data points and follows the general trend of the points reasonably well. It appears to have a positive slope, indicating a positive correlation between the variables represented on the x-axis and y-axis.
Additionally, the red line appears to minimize the overall distance between the data points and the line, which is a common method for determining the line of best fit. This method is often referred to as the least-squares method, and it involves finding the line that minimizes the sum of the squared vertical distances between the data points and the line.