OLS regression

Regression is a common statistical technique used to allow one to ascertain if a relationship exists between a dependent variable that is of interest with one or more independent variables, and goes a step further to predict this dependent variable of interest with past data. This Final Year Project...

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Main Author: Leong, Ivan Shih Lun.
Other Authors: Tan Boon Tiong
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45591
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-45591
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spelling sg-ntu-dr.10356-455912023-07-07T16:41:22Z OLS regression Leong, Ivan Shih Lun. Tan Boon Tiong School of Electrical and Electronic Engineering DRNTU::Science::Mathematics::Statistics Regression is a common statistical technique used to allow one to ascertain if a relationship exists between a dependent variable that is of interest with one or more independent variables, and goes a step further to predict this dependent variable of interest with past data. This Final Year Project (FYP) approaches regression through understanding the method to come out with a validated regression model, and finally this is utilized on a real-life scenario with a person’s income as the dependent variable of interest. Thereafter, the results are presented with suggestions on further improvement. Bachelor of Engineering 2011-06-15T06:12:03Z 2011-06-15T06:12:03Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45591 en Nanyang Technological University 52 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Mathematics::Statistics
spellingShingle DRNTU::Science::Mathematics::Statistics
Leong, Ivan Shih Lun.
OLS regression
description Regression is a common statistical technique used to allow one to ascertain if a relationship exists between a dependent variable that is of interest with one or more independent variables, and goes a step further to predict this dependent variable of interest with past data. This Final Year Project (FYP) approaches regression through understanding the method to come out with a validated regression model, and finally this is utilized on a real-life scenario with a person’s income as the dependent variable of interest. Thereafter, the results are presented with suggestions on further improvement.
author2 Tan Boon Tiong
author_facet Tan Boon Tiong
Leong, Ivan Shih Lun.
format Final Year Project
author Leong, Ivan Shih Lun.
author_sort Leong, Ivan Shih Lun.
title OLS regression
title_short OLS regression
title_full OLS regression
title_fullStr OLS regression
title_full_unstemmed OLS regression
title_sort ols regression
publishDate 2011
url http://hdl.handle.net/10356/45591
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