Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. My response variable, lifeexpectancy, is a quantitative response variable that measures the life expectancy of the people of Ghana. For the purposes of running the Lasso Regression Analysis, I added more variables
OVERVIEW My research work deals with Ghana, a country from the Gapminder dataset. What I found in my logistic regression analysis. Discussion of the results for the associations between all of my explanatory variables and my response variable The primary quantitative explanatory variable in my regression analysis is the Income Per Person
OVERVIEW My research work deals with Ghana, a country from the Gapminder dataset. What I found in my multiple regression analysis. Discussion of the results for the associations between all of my explanatory variables and my response variable The primary quantitative explanatory variable in my regression analysis is the Income Per Person (incomeperperson) and
Testing a Basic Linear Regression Model Background My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. 1) Program Code and Output # -*- coding: utf-8 -*- “”” Created on Sat Feb 13 12:28:07 2016 @author: Bernard
Exploring Statistical Analysis in the Context of Correlation Chosen Dataset I will be working with Data from the Gapminder dataset. This happens to be the same dataset I worked with under the Data Management and Visualization course assignments. As elaborated and discussed in under the Data Management and Visualization course assignments, I have chosen to focus on the country,
Chosen Dataset I will be working with Data from the Gapminder dataset. This happens to be the same dataset I worked with under the Data Management and Visualization course assignments. As elaborated and discussed in under the Data Management and Visualization course assignments, I have chosen to focus on the country, Ghana. Hence I will be particularly interested
Chosen Dataset I will be working with Data from the Gapminder dataset. This happens to be the same dataset I worked with under the Data Management and Visualization course assignments. As elaborated and discussed in under the Data Management and Visualization course assignments, I have chosen to focus on the country, Ghana. Hence I will be particularly interested in
Running a Chi-Square Test of Independence For the purpose of running Chi Square Test of Independence on the Gapminder dataset I am working on, as indicated in the assignment instruction, I will have to categorize some of my Gapminder quantitative variables into categorical variables. In this sense, I have added another quantitative variable from the Gapminder
Background of the Dataset CSV file Used: The background to the Dataset CSV file used has been explained extensively in the week 2’s assignment. Not to bore assessors and readers by repeating everything here again, please simply check the background information from my previous assignment which can be assessed at this link: http://adabadata.tumblr.com/ OR in tumblr, it can be seen as one
Making Data Management Decisions Background of the Dataset CSV file Used: The background to the Dataset CSV file used has been explained extensively in the week 2’s assignment. Not to bore assessors and readers by repeating everything here again, please simply check the background information from my previous assignment which can be assessed at this link: http://adabadata.tumblr.com/
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