$ Listing $/Sq Foot Sq Foot

West South Central ar baxter 286,90 $132 2,176

West South Central ar benton 232,900 $138 1,690

West South Central ar craighead 251,100 $110 2,285

West South Central ar crawford 172,900 $100 1,734

West South Central ar crittenden 298,800 $155 1,928

West South Central ar faulkner 280,500 $129 2,168

West South Central ar garland 274,800 $134 2,056

West South Central ar jefferson 314,600 $144 2,179

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

West South Central ar lonoke 289,000 $132 2,190

West South Central ar pope 273,200 $114 2,389

West South Central ar pulaski 211,300 $121 1,745

West South Central ar saline 273,500 $114 2,396

West South Central ar sebastian 208,600 $111 1,879

West South Central ar washington 215,600 $126 1,712

West South Central ar white 254,800 $145 1,763

West South Central la acadia 226,300 $135 1,681

West South Central la ascensio 303,200 $149 2,030

West South Central la bossier 305,500 $140 2,177

West South Central la caddo 278,500 $158 1,768

West South Central la calcasieu 214,300 $115 1,871

West South Central la east baton rouge 254,100 $135 1,881

West South Central la iberia 188,700 $125 1,511

West South Central la jefferson 306,100 $131 2,344

West South Central la lafayette 221,000 $108 2,040

West South Central la lafourche 297,000 $128 2,320

West South Central la livingston 297,300 $139 2,135

West South Central la orleans 258,600 $152 1,698

West South Central la ouachita 304,300 $158 1,921

West South Central la rapides 347,800 $151 2,297

West South Central la st. charles 171,400 $99 1,724

West South Central la st. landry 254,700 $118 2,150

Listing Price - Square Foot -

Mean: $ 251,906 Mean: 1995

Median:$ 258,600 Median: 2030

Standard Deviation: $60,494 Standard Deviation: 251

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.]