Please see attachments to complete this assignment.

You will continue your analysis of the providedReal Estate Dataspreadsheet (attached bellow) using your selected region to complete your analysis. This document and theNational Statistics and Graphs(attached bellow) will support your work on the assignment.

Note:In the report you prepare for the sales team, the dependent, or response, variable (y) should be the listing price and the independent, or predictor, variable (x) should be the square feet.

Using theModule Three Assignment Template, specifically address the following:

• Regression Equation:Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.
• Determiner:Determinerand what it means. (What is the relationship between the variables?)
• Determine the strength of the correlation (weak, moderate, or strong).
• Discuss how you determine the direction of the association between the two variables.
• Is there a positive or negative association?
• What do you see as the direction of the correlation?
• Examine the Slope and Intercepts:Examine the slope b1 and interceptb0.
• Draw conclusions from the slope and intercept in the context of this problem.
• Does the intercept make sense based on your observation of the line of best fit?
• Determine the value of the land only.
• Note:You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens whenx=0, which is they-intercept. Does this value make sense in context?
• Determine theR-squared Coefficient:Determine theR-squared value.
• Discuss whatR-squared means in the context of this analysis.
• Conclusions:Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:
• Is the square footage for homes in your selected region different than for homes overall in the United States?
• For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?
• What square footage range would the graph be best used for?

Module Three Assignment Template. Please complete fill out the brackets:

Summary Statistics n Mean Median Std. Dev. Min 03 Max Listing 1,000 342,365 318,000 125,914 135,300 265,250 381,600 987,600 price ($) Cost per 1,000 169 166 41 71 139 191 344 square foot ($] Square 1,000 2,111 1,881 921 1,101 1,626 2,215 5,516 feet This graph shows the frequency for listing price. National Leting Prices (5x) This graph shows the frequency for square feet. National Listing's Square Feet 200 7060Median Housing Price Prediction Model for D.M. Pan National Real Estate Company 2 Module Two Notes [Copy and paste any relevant information from your Module Two assignment here to assist you in completing this assignment. This section is not graded and is only provided to help you easily review Module Two assignment information while completing this assignment.] Regression Equation [Insert the regression equation for the line of best fit using the scatterplot from your Module Two assignment.] Determine r [Determine / and what it means, including determining the strength of the correlation and discussing how you determine the direction of the association between the two variables.] Examine the Slope and Intercepts [Draw conclusions from the slope and intercept in the context of this problem and determine the value of only the land.] R-squared Coefficient [Explain what R-squared means in the context of this analysis.] Conclusions [Reflect on the relationship between square feet and sales price by addressing key considerations such as the comparison between your selected region and overall homes in the United States, as well as analyzing how the slope can help identify price changes, how the regression equation can help identify appropriate listing prices, and what square footage ranges the graph would be best used for.]Excel MAT 240 Real Estate Data - View-only v 9 Search (Alt + Q) File Home Insert Draw Page Layout Formulas Data Review View Help Viewing Comments 5 v [ v Arial 11 B . . . Ev ab General 00 . . . -0 Ov E ATV OV A105 v fx East North Central G S E H K L M N O P Q R T U V W X A B F 4 $'s per Region State County listing price square foot square feet East North Central In grant 219,500 5116 1,898 East North Central il vermilion 254,500 $156 1,632 8 East North Central in henry 235,000 $148 1.588 9 East North Central wayne 203,800 $141 1,441 10 East North Central coles 220,800 $117 1,893 11 East North Central macoupin 197,600 $111 1,783 12 East North Central 1 5' vigo 165,800 $122 1,362 13 East North Central oh jefferson 246,500 $136 1,814 14 East North Central jackson 154,300 $105 1,463 15 East North Central oh marion 149,700 $116 1,296 16 East North Central mi bay 145, 100 $117 1,239 17 East North Central whiteside 283,700 $136 2,087 18 East North Central trumbull 243,000 $133 1.827 19 East North Central madison 229, 100 $187 1,224 20 East North Central knox 205, 100 $118 1,740 21 East North Central stephenson 235,600 $140 1,682 22 East North Central macon 212,900 $128 1,659 23 East North Central in delaware 221,600 $134 1,651 24 East North Central il henn 257,700 $123 2,087 25 East North Central of seneca 211,900 $168 1.263 26 East North Central oh darke 160,800 $114 1,416 27 East North Central oh scioto 204,200 $131 1,562 28 Fast North Central Loh belmont 172 500 $101 1 710