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[ Note: To complete this template, replace the bracketed text with your own content. Remove this note before you submit your outline.] Report: Housing Price

[Note: To complete this template, replace the bracketed text with your own content. Remove this note before you submit your outline.]

Report: Housing Price Prediction Model forD. M. Pan National Real Estate Company

[Your Name]

Southern New Hampshire University

Median Housing Price Model for D. M. Pan National Real Estate Company 2

Introduction

[Describe the report: Include in this section a brief overview, including the purpose of the report and your approach.]

Data Collection

[Sampling the data: Outline how you obtained your sample data, including the response and predictor variables.]

[Scatterplot: Insert a correctly labeled scatterplot of your chosen variables.]

Data Analysis

[Histogram: Insert the histogram of the two variables. Be sure to include appropriate labels.]

[Summary statistics: Insert a table to show the summary statistics.]

[Interpret the graphs and statistics: Describe the shape, center, spread, and any unusual characteristic (outliers, gaps, etc.) and what they mean based on your sample data and the graphs you created.]

[Explain how these characteristics of the sample data compare to the same characteristics of the national population. Also, determine whether your sample is representative of the national housing market sales.]

The Regression Model

[Scatterplot: Include the scatterplot graph of the sample with a line of best fit and the regression equation.]

[Based on your graph, explain whether a regression model can be developed for the data

Median Housing Price Model for D. M. Pan National Real Estate Company 3

and how.]

[Discuss associations: Explain the associations in the scatterplot, including the direction, strength, form in the context of your model.]

[Find r: Calculate the correlation coefficient and explain how it aligns with your interpretation of the data from the scatterplot.]

The Line of Best Fit

[Regression equation: Insert the regression equation.]

[Interpret regression equation: Interpret the slope and intercept in context.]

[Strength of the equation: Interpret the strength of the regression equation, R-squared.]

[Use regression equation to make predictions: Use the regression equation to make a sample prediction.]

Conclusions

[Summarize findings: Summarize your findings in clear and concise plain language. Outline any questions arising from the study that might be interesting for follow-up research.]

Region State County listing price $'s per square foot square feet East North Central in grant 219,500 $116 1,898 East North Central il vermilion 254,500 $156 1,632 East North Central in henry 235,000 $148 1,588 East North Central in wayne 203,800 $141 1,441 East North Central il coles 220,800 $117 1,893 East North Central il macoupin 197,600 $111 1,783 East North Central in vigo 165,800 $122 1,362 East North Central oh jefferson 246,500 $136 1,814 East North Central il jackson 154,300 $105 1,463 East North Central oh marion 149,700 $116 1,296 East North Central mi bay 145,100 $117 1,239 East North Central il whiteside 283,700 $136 2,087 East North Central oh trumbull 243,000 $133 1,827 East North Central in madison 229,100 $187 1,224 East North Central il knox 205,100 $118 1,740 East North Central il stephenson 235,600 $140 1,682 East North Central il macon 212,900 $128 1,659 East North Central in delaware 221,600 $134 1,651 East North Central il henry 257,700 $123 2,087 East North Central oh seneca 211,900 $168 1,263 East North Central oh darke 160,800 $114 1,416 East North Central oh scioto 204,200 $131 1,562 East North Central oh belmont 172,500 $101 1,710 East North Central oh sandusky 253,900 $146 1,738 East North Central il rock island 166,300 $127 1,305 East North Central oh clark 240,500 $137 1,752 East North Central oh columbiana 241,400 $164 1,469 East North Central in howard 304,300 $152 1,996 East North Central oh richland 248,900 $132 1,880 East North Central il peoria 187,900 $131 1,434

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