Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat
Simple linear regression is a model that incorporates the two variables in a linear relationship. This paper tried to introduce the basic discussions of the state model. The discussion included a general linear regression model, assumptions, calculated parameters and how the model was used in the pr...
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Faculty of Computer Science and Information System, Universiti Teknologi Malaysia
1994
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Online Access: | http://eprints.utm.my/id/eprint/32719/1/SyedOthmawiAbdRahman1994_RegrasiLinearMudahKajianKes.pdf http://eprints.utm.my/id/eprint/32719/ http://docplayer.net/storage/65/53924921/1537764542/vH17o_PwHlCjudKBvIRfDg/53924921.pdf |
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my.utm.327192018-09-27T04:07:04Z http://eprints.utm.my/id/eprint/32719/ Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat Abd. Rahman, Syed Othmawi Jais, Jamilin Q Science (General) QA Mathematics Simple linear regression is a model that incorporates the two variables in a linear relationship. This paper tried to introduce the basic discussions of the state model. The discussion included a general linear regression model, assumptions, calculated parameters and how the model was used in the prediction and assumption. The SAS/STAT package was used in the analysis for the problem solving. Faculty of Computer Science and Information System, Universiti Teknologi Malaysia 1994-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/32719/1/SyedOthmawiAbdRahman1994_RegrasiLinearMudahKajianKes.pdf Abd. Rahman, Syed Othmawi and Jais, Jamilin (1994) Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat. Jurnal Teknologi Maklumat, 6 (1). pp. 16-32. ISSN 0128-3790 http://docplayer.net/storage/65/53924921/1537764542/vH17o_PwHlCjudKBvIRfDg/53924921.pdf |
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Q Science (General) QA Mathematics Abd. Rahman, Syed Othmawi Jais, Jamilin Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat |
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Simple linear regression is a model that incorporates the two variables in a linear relationship. This paper tried to introduce the basic discussions of the state model. The discussion included a general linear regression model, assumptions, calculated parameters and how the model was used in the prediction and assumption. The SAS/STAT package was used in the analysis for the problem solving. |
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Article |
author |
Abd. Rahman, Syed Othmawi Jais, Jamilin |
author_facet |
Abd. Rahman, Syed Othmawi Jais, Jamilin |
author_sort |
Abd. Rahman, Syed Othmawi |
title |
Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat |
title_short |
Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat |
title_full |
Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat |
title_fullStr |
Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat |
title_full_unstemmed |
Regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di Malaysia Barat |
title_sort |
regrasi linear mudah: kajian kes jumlah kemalangan jalan raya di malaysia barat |
publisher |
Faculty of Computer Science and Information System, Universiti Teknologi Malaysia |
publishDate |
1994 |
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http://eprints.utm.my/id/eprint/32719/1/SyedOthmawiAbdRahman1994_RegrasiLinearMudahKajianKes.pdf http://eprints.utm.my/id/eprint/32719/ http://docplayer.net/storage/65/53924921/1537764542/vH17o_PwHlCjudKBvIRfDg/53924921.pdf |
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13.211869 |