Detecting and correcting for heteroscedasticity / Teoh Sian Hoon

The discussion of this paper focuses on detecting the presence of heteroscedasticity using two methods simultaneously: (1) a graph of the residuals versus the independent variable, and (2) Goldfeld- Quandt test. These two methods were applied for the accuracy of detecting heteroscedasticity. Weighte...

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Main Author: Teoh, Sian Hoon
Format: Article
Language:en
Published: Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2007
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Online Access:https://ir.uitm.edu.my/id/eprint/14876/1/AJ_TEOH%20SIAN%20HOON%20ESTEEM%2007.pdf
https://ir.uitm.edu.my/id/eprint/14876/
https://uppp.uitm.edu.my
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author Teoh, Sian Hoon
author_facet Teoh, Sian Hoon
author_sort Teoh, Sian Hoon
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description The discussion of this paper focuses on detecting the presence of heteroscedasticity using two methods simultaneously: (1) a graph of the residuals versus the independent variable, and (2) Goldfeld- Quandt test. These two methods were applied for the accuracy of detecting heteroscedasticity. Weighted least squares was used in correcting the presence of heteroscedasticity. A clear picture on detecting and correcting heteroscedasticity was discussed in a case study. SPSS was used in plotting the graph of residuals against the independent variable and also in analyzing data using weighted least squares.
format Article
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institution Universiti Teknologi Mara
language en
publishDate 2007
publisher Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
record_format eprints
spelling my.uitm.ir-148762016-10-05T08:33:06Z https://ir.uitm.edu.my/id/eprint/14876/ Detecting and correcting for heteroscedasticity / Teoh Sian Hoon esteem Teoh, Sian Hoon Analysis Calculus Analytic mechanics The discussion of this paper focuses on detecting the presence of heteroscedasticity using two methods simultaneously: (1) a graph of the residuals versus the independent variable, and (2) Goldfeld- Quandt test. These two methods were applied for the accuracy of detecting heteroscedasticity. Weighted least squares was used in correcting the presence of heteroscedasticity. A clear picture on detecting and correcting heteroscedasticity was discussed in a case study. SPSS was used in plotting the graph of residuals against the independent variable and also in analyzing data using weighted least squares. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2007 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/14876/1/AJ_TEOH%20SIAN%20HOON%20ESTEEM%2007.pdf Detecting and correcting for heteroscedasticity / Teoh Sian Hoon. (2007) ESTEEM Academic Journal <https://ir.uitm.edu.my/view/publication/ESTEEM_Academic_Journal/>, 3. pp. 123-133. ISSN 1675-7939 https://uppp.uitm.edu.my
spellingShingle Analysis
Calculus
Analytic mechanics
Teoh, Sian Hoon
Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
title Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
title_full Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
title_fullStr Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
title_full_unstemmed Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
title_short Detecting and correcting for heteroscedasticity / Teoh Sian Hoon
title_sort detecting and correcting for heteroscedasticity / teoh sian hoon
topic Analysis
Calculus
Analytic mechanics
url https://ir.uitm.edu.my/id/eprint/14876/1/AJ_TEOH%20SIAN%20HOON%20ESTEEM%2007.pdf
https://ir.uitm.edu.my/id/eprint/14876/
https://uppp.uitm.edu.my
url_provider http://ir.uitm.edu.my/