1. The problem asks to determine if a trend line is a good fit for the data shown in a scatter plot. 2. A trend line is a good fit if it closely follows the pattern of the data points, minimizing the distance between the points and the line. 3. Important rules: - If most points are near the line, it is a good fit. - If points are widely scattered away from the line, it is a poor fit. 4. Since the image is not visible, we cannot analyze the exact data points or the trend line. 5. Generally, to assess fit quality, one looks at the residuals (vertical distances from points to line) and the coefficient of determination ($R^2$). 6. Without data, the best explanation is that a good fit means the trend line represents the data pattern well, while a poor fit means it does not.