Create a scatter plot with “House Size (Sqft)” on the horizontal axis and “Selling Price ($)” on the vertical axis. Make sure to include the labels when inputting your ranges so that the scatter plot is appropriately labeled. See the drop bar above if you need a reminder about how to create a scatter plot.
NO sure what numbers to input for the y and x axis to create the scatter chart
Back ground Information -
Before we help Disney develop a forecast of its home video units, let’s build a basic understanding of regression analysis by taking a careful look at some data on recent residential real estate transactions in the Boston area. Suppose you are interested in purchasing a single-family home near Boston and would like to understand the relationship between selling price and the size of a house. You are confident that larger homes tend to cost more, but you want to gain a deeper understanding about the structure of the relationship between selling price and house size.
To help build our understanding of such relationships, we have gathered data on 30 homes that were sold in the greater Boston area during the summer of 2013. Before we turn to regression analysis, let’s explore the data to get a better sense of what the relationship between a house’s selling price and its size might look like. As we learned earlier in the course, scatter plots are an excellent tool for visualizing the relationship between two variables, so let’s create one for the housing data.