代做SDGB 7840、Modeling Literacy代写、代做R编程设计、代写R语言

日期：2019-03-26 10:06

HW 3, SDGB 7840: Modeling Literacy Rate

Due: 3/28 in class

Submit THREE files through Blackboard: (a) .Rmd R Markdown file with answers and

code, (b) Word document of knitted R Markdown file, and (c) your data file. Your code/Word

files should be named as follows: “HW[X]-[Full Name]-[Class Time]” and include those details

in the body of those files.

Complete your work individually and comment your code for full credit. For an example of

how to format your homework see the files posted with Lecture 1 on Blackboard. Show all

of 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 to

consider (http://data.worldbank.org/indicator; and click here for the link to literacy

rate 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 includes

graphs and tables but not references) and should include the following six sections. Any

pages beyond the 8th page will not be graded. You can use the posted paper, “The regional

dimension 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 business

version of the abstract in the Arregle, et al paper).

2. Introduction: define the literacy rate and the purpose of the study

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3. Data: source of your data; discuss which 10 explanatory variables you considered and

why (not just the ones you ended up including in your final model); relevant summary

information about the explanatory and response variables; which countries are included

in your data set; which year(s) are included in your data set; how you cleaned your

data.

4. Methods: relevant plots; model building summary (transformations, variable selection,

collinearity, etc.); check regression assumptions; model evaluation; relevant hypothesis

tests (include hypotheses, test statistic, degrees of freedom, p-value, α value and

conclusion)

5. Discussion: final regression model; interpretation of model; discussion of usefulness of

model; any ideas you have for improvement

6. References: cite the World Bank as your data source and any other publications you

may have used to learn about the response variable or which explanatory variables

may be helpful, etc. (Note: you do not have to use other sources, but if you do, cite

them.) Your reference list is not included in the 8 pages. Finally, DO NOT COPY

TEXT from sources; write your report in your own words and add citations.

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