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Problem AConsider the modelling of house selling price. The data can be downloaded into R using:read.table(url(“http://pages.uwf.edu/acohen/teaching/glm/house.txt”))The data contains the following variables: price (in $1000), new (0=old, 1=new), size (sq ft),beds (number of bedrooms), baths (number of bathrooms), and taxes (annual tax bill in $). We consider price as the response variable. The goal is to fit a linear model to explore the house sellingprice variability.Consider this model with interaction price~new+size+new:size, and the following steps in your modeling process:Plot data: price vs. size while marking observations where new=1 and new=0.Discuss linearity, normality and constant-variance.Consider a transformation, if needed.Compare the model with and without interactions.Identify if any influential observations exist. If yes, remove at most 2 observations and redothe modeling. Comment on the results.Plot the regression lines and interpret the final model.Now consider adding the number of beds to the model:price~new+size+new:size+beds.1. Before you fit this model, find the correlation (function corin R) between the price and beds.Comment.2. Fit the model and interpret the coefficient of beds.3. Comment on the contradiction you observed.本团队核心人员组成主要包括BAT一线工程师,精通德英语!我们主要业务范围是代做编程大作业、课程设计等等。我们的方向领域:window编程 数值算法 AI人工智能 金融统计 计量分析 大数据 网络编程 WEB编程 通讯编程 游戏编程多媒体linux 外挂编程 程序API图像处理 嵌入式/单片机 数据库编程 控制台 进程与线程 网络安全 汇编语言 硬件编程 软件设计 工程标准规等。其中代写编程、代写程序、代写留学生程序作业语言或工具包括但不限于以下范围:C/C++/C#代写Java代写IT代写Python代写辅导编程作业Matlab代写Haskell代写Processing代写Linux环境搭建Rust代写Data Structure Assginment 数据结构代写MIPS代写Machine Learning 作业 代写Oracle/SQL/PostgreSQL/Pig 数据库代写/代做/辅导Web开发、网站开发、网站作业ASP.NET网站开发Finance Insurace Statistics统计、回归、迭代Prolog代写Computer Computational method代做因为专业,所以值得信赖。如有需要,请加QQ:99515681 或邮箱:[email protected] 微信:codehelp QQ:99515681 或邮箱:[email protected] 微信:codehelp

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