代做SDGB 7840作业、Modeling Literacy作业代写、代做R编程设计作业、代写R语言作业代写R语言编程|帮做Java程序

HW 3, SDGB 7840: Modeling Literacy RateDue: 3/28 in classSubmit THREE files through Blackboard: (a) .Rmd R Markdown file with answers andcode, (b) Word document of knitted R Markdown file, and (c) your data file. Your code/Wordfiles should be named as follows: “HW[X]-[Full Name]-[Class Time]” and include those detailsin the body of those files.Complete your work individually and comment your code for full credit. For an example ofhow to format your homework see the files posted with Lecture 1 on Blackboard. Show allof your code in the knitted Word document.In this assignment you will use multiple regression to model the literacy rate across countries;the goal is to understand which factors might be related to the literacy rate.Use the data provided by the World Bank to determine which 10 explanatory variables toconsider (http://data.worldbank.org/indicator; and click here for the link to literacyrate data: link). (This data requires a lot of cleaning.)Write your paper as a research report. It should be no longer than 8 pages (this includesgraphs and tables but not references) and should include the following six sections. Anypages beyond the 8th page will not be graded. You can use the posted paper, “The regionaldimension of MNEs’ foreign subsidiary localization” by Arregle, Beamish, and Hebert (2009)as an example of how to determine what information is important to include in a report.1. Executive Summary: short paragraph summarizing your paper (this is like the businessversion of the abstract in the Arregle, et al paper).2. Introduction: define the literacy rate and the purpose of the study13. Data: source of your data; discuss which 10 explanatory variables you considered andwhy (not just the ones you ended up including in your final model); relevant summaryinformation about the explanatory and response variables; which countries are includedin your data set; which year(s) are included in your data set; how you cleaned yourdata.4. Methods: relevant plots; model building summary (transformations, variable selection,collinearity, etc.); check regression assumptions; model evaluation; relevant hypothesistests (include hypotheses, test statistic, degrees of freedom, p-value, α value andconclusion)5. Discussion: final regression model; interpretation of model; discussion of usefulness ofmodel; any ideas you have for improvement6. References: cite the World Bank as your data source and any other publications youmay have used to learn about the response variable or which explanatory variablesmay be helpful, etc. (Note: you do not have to use other sources, but if you do, citethem.) Your reference list is not included in the 8 pages. Finally, DO NOT COPYTEXT from sources; write your report in your own words and add citations.Page 2 of 2本团队核心人员组成主要包括硅谷工程师、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