Regression analysis research paper

Types of analysis[ edit ] There are many different models, each with its own type of analysis:

Regression analysis research paper

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. - The OLS linear regression analysis is a crucial statistics tool to estimate the relationship between variables. Usually, the estimator indicates the causality between one variable and the other (A Sykes, ) (e.g the product price and its demand quantity). In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the.

Format for Writing the Paper Perhaps you like the paper-writing phase of research; maybe you dread it. The difference usually hinges on whether you regard yourself as a "good writer"--as determined by grades earned on countless other writing assignments.

My experience with student research papers suggests that reporting the results of quantitative research is very different from other types of writing. Students who do well in creative writing may find this form of exposition more challenging; others rarely applauded for clever turns of phrase may receive compliments on their clarity of expression.

Writing a research report can be a challenge for students who excel at writing essays and an opportunity to shine for those who do not ordinarily "write well.

Regression analysis research paper

The watchword for this type of writing is structure. The format of your paper should reveal the structure of your thinking. Devices such as paragraphing, headings, indentation, and enumeration actually help your reader see the major points you want to make.

If you tend to string sentences together without organizing your thoughts into paragraphs, you are not helping him or her make sense of your writing. As a rule of thumb, if you type a full page double spaced without indenting for a new paragraph, you almos tcertainly have run one thought into another and have missed an opportunity to differentiate your ideas.

Headings can convey the major topics discussed in your paper. A research report see the Lacy article on analysis of variance typically contains four basic components: Statement of the problem that gave rise to the research 2. Discussion of how the research was designed to clarify the problem 3.

Analysis of the data produced by the research 4. Summary and conclusion of the study Although you could include those sections in your report without separate headings, the underlying logic of your paper will be readily apparent with headings that identify its basic components: The Statistics research paper is intended to demonstrate your competence in applying statistics to political and social analysis.

The paper should be no more than 5 typewritten pages double-spaced, not counting tables or graphs. It should be similar to articles in the "Research Notes" section of the Journal of Politics, source of the Lacy reading on Analysis of Variance. Virtually all these articles are structured some explicitly, other implicitly according to the outline below.

To help us evaluate your papers for the 25 points that they can earn, please follow the outline explicitly in writing your papers. They will be scored as indicated under the four section headings: The Problem worth 3 points Begin by stating briefly the intellectual concern with the topic, indicating why it is worthy of study.

For example, does the topic reflect an established interest e.

Deterministic or inherently random?

To emphasize the ongoing nature of research, each paper should cite at least one previous study or publication relevant to your research. The subject index to Sociological Abstracts, which contains articles in political science, is a good source for publications.

Regression analysis research paper

United States Political Science Documents is another good source, and it also contains abstracts of the articles cited. Both sources are in the Reference Room. You can either cite your references in footnotes giving author, title, and publication particularsor you can cite the author and date in parentheses within the text.

For example, Tufte, Englewood Cliffs, New Jersey: Research Design and Hypotheses worth 7 points This section should translate the intellectual concerns expressed above into your research. Indicate here the nature and source of your data i.

For example, do you expect the hypothesized relationship to hold across sex and race for individual-level data or across types of political systems for national-level data? You must also formalize your hypotheses in this section.

By formalize, I mean physically distinguish your hypotheses from the rest of the text in two ways: For example, you might say, "This leads to our first hypothesis: The greater the GNP per capita, the higher the literacy rate.

They gain in credibility as they survive attempts to test them -- i. Admittedly, it is intellectually more satisfying to propose hypotheses that are supported rather than falsified through data analysis. Whether your hypotheses are supported or falsified will have no effect on the paper's grade.This study was a systematic review and meta-regression analysis.

We assessed regional prevalence of pretreatment drug resistance and risk of pretreatment drug resistance in people initiating ART who reported previous ART exposure.

Multiple regression analysis is a powerful technique used for predicting the unknown value of a variable from the known value of two or more variables- also called the predictors.

The supermarket studied and the methodology of the analysis and modelling is detailed in this section. As Fig. 1 indicates, this assessment is based on the actual consumption data, dry-bulb temperature and relative humidity records for This data was divided into two data sets to be used in a multiple linear regression analysis to generate two equations, one for electricity and one for gas.

Example of a Research Using Multiple Regression Analysis. I will illustrate the use of multiple regression by citing the actual research activity that my graduate students undertook two years ago.

Regression analysis is a set of tools for building mathematical models that can be used to predict the value of one variable from another.

R squared in logistic regression – The Stats Geek

Simple linear . Applied Regression Analysis: A Research Tool, Second Edition John O. Rawlings Sastry G. Pantula David A. Dickey Springer.

Multiple Regression Analysis - Predicting Unknown Values