Could I please get a step by step explanation on how to do this? Would you please include all explanations and reasons on how to get the answer. Graphs and histograms and formulas included. Thank you so much. Also if you tell me how to I will gladly attach the excel spreadsheet instead of a screenshot. I don't know how to do that. I have already chosen my random 50. it is attached

UVEI VIEW l'he purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a 'esearch question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions. Scenario You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for isting prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided 'eaI estate data set for all US. home sales as well as national descriptive statistics and graphs provided. Directions Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for 1ational comparisons and the Real Estate Data spreadsheet [both found in the Supporting Materials section} for your statistical analysis. Note: Present your data in a clearly labeled table and using clearly labeled graphs. Specically, include the following in your report: Introduction A. Describe the report: Give a brief description of the purpose of your report. a. Dene the question your report is trying to answer. b. Explain when using linear regression is most appropriate. i. When using linear regression, what would you expect the scatterplot to look like? c. Explain the difference between response and predictor variables in a linear regression to justify the selection of variables. Data Collection A. Sampling the data: Select a random sample of 50 houses. Data Collection A. Sampling the data: Select a random sample of 50 houses. a. Identify your response and predictor variables. B. Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model. Data Analysis A. Histogram: For your two variables, create histograms. B. Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation. C. Interpret the graphs and statistics: a. Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables. b. Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales? Develop Your Regression Model A. Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit. a. Explain if a regression model is appropriate to develop based on your scatterplot. B. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model. b. Identify any possible outliers or influential points and discuss their effect on the correlation. c. Discuss keeping or removing outlier data points and what impact your decision would have on your model. C. Find r. Find the correlation coefficient (r). a. Explain how the rvalue you calculated supports what you noticed in your scatterplot. Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model. A. Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. B. Interpret regression equation: Interpret the slope and intercept in context. C. Strength of the equation: Provide and interpret R-squared.Region State County listing price $'s per square foot square feet East North Central oh seneca 211,900 $168 1,263 East North Central in howard 304,300 $152 1,996 East North Central il jackson 154,300 $105 1,463 East North Central il knox 205,100 $1 18 1,740 East North Central in wayne 203,800 $141 1,441 East North Central oh richland 248,900 $132 1,880 East North Central oh trumbull 243,000 $133 1,827 East North Central il macon 212,900 $128 1,659 East North Central il stephenson 235,600 $140 1,682 East North Central oh marion 149,700 $116 1,296 East North Central in madison 229,100 $187 1,224 East North Central il peoria 187,900 $131 1,434 East North Central il rock island 166,300 $127 1,305 East North Central il whiteside 283,700 $136 2,087 East North Central il vermilion 254,500 $156 1,632 East North Central oh belmont 172,500 $101 1,710 East North Central in vigo 165,800 $122 1,362 East North Central il henry 257,700 $123 2,087 East North Central il macoupin 197,600 $111 1,783 East North Central oh clark 240,500 $137 1,752 East North Central oh sandusky 253,900 $146 1,738 East North Central oh jefferson 246,500 $136 1,814 East North Central in henry 235,000 $148 1,588 East North Central oh scioto 204,200 $131 1,562 East North Central in delaware 221,600 $134 1,651 East North Central oh columbiana 241,400 $164 1,469 East North Central il coles 220,800 $117 1,893 East North Central oh darke 160,800 $114 1,416 East North Central mi bay 145,100 $117 1,239 East North Central in grant 219,500 $1 16 1,898 East North Central il la salle 311,100 $154 2,015 East North Central il madison 254,500 $156 1,628 East North Central mi wayne 213,800 $172 1,243 East North Central in vanderburgh 214.100 $134 1.596worth Central vanderburgh East North Central oh mahoning 207,500 $123 1,688 East North Central il williamson 171,600 $141 1,218 East North Central il winnebago 236,700 $140 1,692 East North Central il adams 266,100 $166 1,599 East North Central mi saginaw 171,800 $1 18 1,452 East North Central oh montgomery 225,300 $151 1,493 East North Central oh allen 227,600 $147 1,550 East North Central oh lucas 228,300 $1 15 1,978 East North Central oh ashtabula 177,000 $107 1,658 East North Central oh lawrence 248,300 $156 1,587 East North Central oh huron 199,700 $147 1,359 East North Central il tazewell 278,700 $165 1,693 East North Central oh summit 185,800 $101 1,847 East North Central il sangamon 213,500 $130 1,643 East North Central oh ashland 188,000 $151 1,246 East North Central oh tuscarawas 270,700 $149 1,815 East North Central oh ross 257,200 $127 2,018 East North Central mi shiawassee 192,400 $129 1,494 East North Central mi calhoun 266,200 $130 2,042 East North Central il kankakee 148,700 $115 1,293 East North Central in lawrence 270,600 $137 1,978 East North Central wi manitowoc 181,400 $140 1,294 East North Central il st. clair 201,400 $164 1,225 East North Central mi ingham 222,500 $125 1,777 East North Central il mclean 203,800 $134 1,526 East North Central mi jackson 139,200 $116 1,201 East North Central mi isabella 163,000 $125 1,307 East North Central wi wood 266,500 $144 1,853 East North Central mi montcalm 218,300 $105 2,081 East North Central wi grant 243,200 $121 2,014 East North Central oh cuyahoga 265,100 $136 1,947 East North Central oh stark 201,000 $163 1,230 East North Central oh athens 246,400 $158 1,560East North Central on athens 240,400 1,500 East North Central wi milwaukee 184,900 $111 1,666 East North Central mi lenawee 191,500 $118 1,628 East North Central wi fond du lac 135,300 $103 1,312