NOTE: This page is under construction!! Intro paragraph needed!!!!! 5.1 Conditional Logistic Regression There are two alternative approaches to maximum likelihood estimation in logistic regression, the unconditional estimation approach and…
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Stata Web Books Regression with Stata
by Xiao Chen, Philip B. Ender, Michael Mitchell and Christine Wells (in alphabetical order) The aim of these materials is to help you increase your skills in using regression…
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Regression with Stata Chapter 1 – Simple and Multiple Regression
Chapter Outline 1.0 Introduction 1.1 A First Regression Analysis 1.2 Examining Data 1.3 Simple linear regression 1.4 Multiple regression 1.5 Transforming variables 1.6 Summary 1.7 Self assessment 1.8 For more…
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Annotated Stata Output Simple Regression Analysis
This page shows an example simple regression analysis with footnotes explaining the output. The analysis uses a data file about scores obtained by elementary schools, predicting api00 from enroll using…
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Annotated Stata Output Multiple Regression Analysis
This page shows an example multiple regression analysis with footnotes explaining the output. The analysis uses a data file about scores obtained by elementary schools, predicting api00 from ell, meals,…
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Annotated Stata Outputfor Listcoef Command
This page shows an example of the listcoef command with footnotes explaining the output using the elemapi2 data file. We first use the elemapi2 data file and then first perform…
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Regression with Stata Chapter 1 – Self Assessment
Make five graphs of api99: histogram, kdensity plot, boxplot, symmetry plot and normal quantile plot. What is the correlation between api99 and meals? Regress api99 on meals. What does the…
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Regression with Stata Chapter 1 Self Assessment Answers
Question 1. Make five graphs of api99: histogram, kdensity plot, boxplot, symmetry plot and normal quantile plot. Answer 1. First we use the elemapi2 data file. use https://stats.idre.ucla.edu/stat/stata/webbooks/reg/elemapi2, clear Below…
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Regression with Stata Chapter 2 – Regression Diagnostics
Chapter Outline 2.0 Regression Diagnostics 2.1 Unusual and Influential data 2.2 Checking Normality of Residuals 2.3 Checking Homoscedasticity 2.4 Checking for Multicollinearity 2.5 Checking Linearity 2.6 Model Specification 2.7 Issues…
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Regression with Stata Chapter 2 Self Assessment
1. The following data set consists of measured weight, measured height, reported weight and reported height of some 200 people. You can get it from within Stata by typing use…
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