1. Based on your graph, define each variable and explain which variable will be useful for making predictions and why. 2. Describe the association between X and Y and the scatterplot and determine its shape. 3. Identify any outliers you see in the graph and explain why these occur and what they represent. 4 If you had a 1800 ft home based on the regression equation in the graph, what price would you choose to list it? explain.

Selling Price Analysis for D.M. Pan National Real Estate Company 1, Based on your graph, define each variable, and explain which variable will be useful for making predictions and why. 2. Describe the association between x and y in the scatterplot and determine its shape. 3. Identify any outliers you see in the graph and explain why these occur and what they represent. 4. If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at? Explain. West South Central County Data 5400,090 $350,000 y= 160.12 - 102082 $300,000 5250,000 $200,000 $150,000 5100,000 $50,000 1000 1200 1400 1600 1800 2000 2200 2400 2600