Report: Selling Price and Area Analysis for D.M. Pan National Real Estate Company

Introduction

[Include in this section a brief overview, including the purpose of the report.]

Generate a Representative Sample of the Data

[Present your simple random sample of 30, including the region you selected for your sample. Then identify the mean, median, and standard deviation of the listing price and the square foot variables.]

Analyze Your Sample

[Discuss how the regional sample created is reflective of the national market. Compare and contrast your regional sample with the national population using the National Statistics and Graphs document found in the Module Two Assignment Guidelines and Rubric.

Explain how you have made sure that the sample is random. Explain your methods to get a truly random sample.]

Generate Scatterplot

[Insert a scatterplot graph of the sample using the x and y variables. Include a trend line and the regression equation. Label the axes.]

Observe Patterns

[Define x and y. Which variable is useful for making predictions?]

[Is there an association between x and y? Describe the association you see in the scatterplot.]

[What do you see as the shape (linear or nonlinear)?]

[If you had an 1,800 square foot house, based on the regression equation in the graph, what

Selling Price and Area Analysis for D.M. Pan National Real Estate Company 3

price would you choose to list at?]

[Do you see any potential outliers in the scatterplot?]

[Why do you think the outliers appeared in the scatterplot you generated?]What do they represent?]