Question

The data in the preceding graph represents the value of basketball cards over time. Each point represents the value of a basketball card after a certain number of years. For example, (9,50) represents a 9-year-old basketball card that is worth $50. Which model best fits this data? (1 point) Responses a linear model a linear model an exponential model an exponential model a quadratic model a quadratic model no model

Answer 1

To determine which model best fits the data representing the value of basketball cards over time, we would typically look at the pattern of the data points:

• If the values appear to increase steadily and form a straight line when plotted, a linear model may be appropriate.
• If the values increase rapidly at first and then level off or have a curve, an exponential model might fit best.
• If the data shows a pattern where the rate of change increases or decreases (e.g., forming a parabola), a quadratic model could be suitable.
• If there is no clear pattern, then no model would be appropriate.

Given just the coordinates you mentioned (e.g., (9,50)), it's difficult to make a definitive conclusion without seeing the actual graph. However, you should look for these characteristics in the data to choose the best model.

If you describe the pattern of the data points or their general trend, I can provide a more specific recommendation on the model that best fits the data.