Introduction to linear regression analysis

Introduction to Regression Analysis

This course is an introduction to the mainstay of quantitative empirical work in political science, the linear regression model. We begin by putting the regression model in context by discussing causation, generalization, and quasi-experimentation. We then introduce the basic two-variable regression model, discuss its assumptions, and learn how to test hypotheses with it. This is followed by th...

Review Introduction to statistical modelling: linear regression

In many studies we wish to assess how a range of variables are associated with a particular outcome and also determine the strength of such relationships so that we can begin to understand how these factors relate to each other at a population level. Ultimately, we may also be interested in predicting the outcome from a series of predictive factors available at, say, a routine clinic visit. In ...

An Introduction to Regression Analysis

Some Modifications to Calculate Regression Coefficients in Multiple Linear Regression

In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...

Introduction to Correlation and Regression Analysis

SAS® has many tools that can be used for data analysis. From Freqs and Means to Tabulates and Univariates, SAS can present a synopsis of data values relatively easily. However, there is a difference between what the data are, and what the data mean. In order to take this next step, I would like to go beyond the basics and introduce correlation and hypothesis testing using regression models. A b...