Daniel is planning to buy his first house. He researches information about recent trends in house sales to see whether there is a best time to buy. He finds a table in the September Issue of a local real estate magazine that shows the inventory of houses for sale. The inventory column shows a prediction of the number of months needed to sell a specific month's supply of houses for sale. The table also shows the median sales price for houses each month.
Daniel wants to create a scatter plot of the data in the table to determine whether inventory affects median sales price. Which scatter plot will help Daniel make his determination?

This scatter plot may not represent the relationship between inventory and median sales price correctly, as it could potentially display unrelated variables or have an unclear axis designation. Without a direct correlation between the intended variables, Daniel would struggle to draw meaningful conclusions about his research question.

While this scatter plot might show data points, it could focus on a different relationship, such as sales volume over time instead of inventory versus median price. This misalignment means it would not provide the necessary insights that Daniel is seeking for his decision-making process regarding house purchase timing.

This scatter plot may present data without a clear correlation to the variables Daniel is investigating. If it includes extraneous factors or fails to illustrate the relationship between inventory and median sales price, it would not serve his purpose of determining the best time to buy a house.