Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania

Vicent Paul Nyakyi; Dmitry Kuznetsov; Yaw Nkansah-Gyekye

doi:doi:10.11648/j.sjams.20140205.12

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Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania

Vicent Paul Nyakyi, Dmitry Kuznetsov, Yaw Nkansah-Gyekye

Published in Science Journal of Applied Mathematics and Statistics (Volume 2, Issue 5)

Received: 1 September 2014 Accepted: 18 September 2014 Published: 30 September 2014

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Abstract

There are several ways in which regression model can be validated. One of the ways is a collection of new data to check model predictions (Snee, 1977). In Nyakyi et al. (2014) a multiple regression model was formulated, analyzed, and discussed to assess motorcycle accidents in Tanzania. The model included several factors which are wrong overtaking, legal status of not owning license, rough road, high speed, mechanical defect, personal status, experience of a driver, and tarmac road. All these factors were considered to be the causes of motorcycle accidents in Tanzania, specifically in Arusha and Kilimanjaro regions. This paper presents the analysis and discussion of the accidents problem using new data collected through questionnaire; the study's results are then compared with the results, predicted by the multiple regression models, for validation. Questionnaires were designed to access the extent to which identified factors cause motorcycle accidents, and the data is obtained from motorcycle stake holders who in this study are considered to have reliable information about motorcycle accidents in Tanzania. The results of the validation indicate that there is a good correlation between the data obtained from the questionnaire and the data produced by the regression model.

Published in	Science Journal of Applied Mathematics and Statistics (Volume 2, Issue 5)
DOI	10.11648/j.sjams.20140205.12
Page(s)	97-101
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Questionnaires, Motorcycle Accidents, Fitting, Factors and Validation

References

[1]	Kamal, S. (2010). Serious Injury and Injurious Burden in Urban Bangladesh. Journal of Applied Science and Technology. 7:71-79
[2]	Koornstra, M., Broughton, J., Esberger, R., Glansdorp, C., Köppel, W., Taylor, F., Cauzard, J., Evans, A., Hantula, L., Piers,M. and Vanlaar, W. (2003). Transport safety Performance in the EU: a statistical overview. European Transport Safety Council, Brussels, Belgium, p. 32.
[3]	Mpinga, M. (2012). Tanzania Traffic Police Report. The Guardian News Paper December 25, 2012
[4]	Mwakapasa, E. G. (2011). Attitudes towards and practice of Helmet use Among Commercial
[5]	Nkwame, M. (2010, June 19). Motorcycle accidents claim 181 lives in four months. Taznania: Daily News.
[6]	Nyakyi, V., Kuznetsov, D. and Nkansah-Gyekye, Y. (2014). Mathematical Model to Assess Motorcycle Accidents in Tanzania. Journal of Mathematical Theory and Modeling .Vol.4, No.9, 112119
[7]	Peden, M., McGee, K. and Sharma, G. (2005). The injury Chart Book. A graphical overview of the global burden of injuries. Geneva: World Health Organization, 2000:5.
[8]	Rothenberg, J. (1989). The nature of modeling Rand.
[9]	Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics 19:415-428.

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APA Style

Vicent Paul Nyakyi, Dmitry Kuznetsov, Yaw Nkansah-Gyekye. (2014). Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania. Science Journal of Applied Mathematics and Statistics, 2(5), 97-101. https://doi.org/10.11648/j.sjams.20140205.12

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ACS Style

Vicent Paul Nyakyi; Dmitry Kuznetsov; Yaw Nkansah-Gyekye. Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania. Sci. J. Appl. Math. Stat. 2014, 2(5), 97-101. doi: 10.11648/j.sjams.20140205.12

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AMA Style

Vicent Paul Nyakyi, Dmitry Kuznetsov, Yaw Nkansah-Gyekye. Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania. Sci J Appl Math Stat. 2014;2(5):97-101. doi: 10.11648/j.sjams.20140205.12

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@article{10.11648/j.sjams.20140205.12,
  author = {Vicent Paul Nyakyi and Dmitry Kuznetsov and Yaw Nkansah-Gyekye},
  title = {Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {2},
  number = {5},
  pages = {97-101},
  doi = {10.11648/j.sjams.20140205.12},
  url = {https://doi.org/10.11648/j.sjams.20140205.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20140205.12},
  abstract = {There are several ways in which regression model can be validated. One of the ways is a collection of new data to check model predictions (Snee, 1977). In Nyakyi et al. (2014) a multiple regression model was formulated, analyzed, and discussed to assess motorcycle accidents in Tanzania. The model included several factors which are wrong overtaking, legal status of not owning license, rough road, high speed, mechanical defect, personal status, experience of a driver, and tarmac road. All these factors were considered to be the causes of motorcycle accidents in Tanzania, specifically in Arusha and Kilimanjaro regions. This paper presents the analysis and discussion of the accidents problem using new data collected through questionnaire; the study's results are then compared with the results, predicted by the multiple regression models, for validation. Questionnaires were designed to access the extent to which identified factors cause motorcycle accidents, and the data is obtained from motorcycle stake holders who in this study are considered to have reliable information about motorcycle accidents in Tanzania. The results of the validation indicate that there is a good correlation between the data obtained from the questionnaire and the data produced by the regression model.},
 year = {2014}
}

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TY  - JOUR
T1  - Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania
AU  - Vicent Paul Nyakyi
AU  - Dmitry Kuznetsov
AU  - Yaw Nkansah-Gyekye
Y1  - 2014/09/30
PY  - 2014
N1  - https://doi.org/10.11648/j.sjams.20140205.12
DO  - 10.11648/j.sjams.20140205.12
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 97
EP  - 101
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20140205.12
AB  - There are several ways in which regression model can be validated. One of the ways is a collection of new data to check model predictions (Snee, 1977). In Nyakyi et al. (2014) a multiple regression model was formulated, analyzed, and discussed to assess motorcycle accidents in Tanzania. The model included several factors which are wrong overtaking, legal status of not owning license, rough road, high speed, mechanical defect, personal status, experience of a driver, and tarmac road. All these factors were considered to be the causes of motorcycle accidents in Tanzania, specifically in Arusha and Kilimanjaro regions. This paper presents the analysis and discussion of the accidents problem using new data collected through questionnaire; the study's results are then compared with the results, predicted by the multiple regression models, for validation. Questionnaires were designed to access the extent to which identified factors cause motorcycle accidents, and the data is obtained from motorcycle stake holders who in this study are considered to have reliable information about motorcycle accidents in Tanzania. The results of the validation indicate that there is a good correlation between the data obtained from the questionnaire and the data produced by the regression model.
VL  - 2
IS  - 5
ER  -

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Author Information

Vicent Paul Nyakyi

School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Dmitry Kuznetsov

School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Yaw Nkansah-Gyekye

School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania

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Plain Text BibTeX RIS

APA Style

Vicent Paul Nyakyi, Dmitry Kuznetsov, Yaw Nkansah-Gyekye. (2014). Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania. Science Journal of Applied Mathematics and Statistics, 2(5), 97-101. https://doi.org/10.11648/j.sjams.20140205.12

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ACS Style

Vicent Paul Nyakyi; Dmitry Kuznetsov; Yaw Nkansah-Gyekye. Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania. Sci. J. Appl. Math. Stat. 2014, 2(5), 97-101. doi: 10.11648/j.sjams.20140205.12

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AMA Style

Vicent Paul Nyakyi, Dmitry Kuznetsov, Yaw Nkansah-Gyekye. Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania. Sci J Appl Math Stat. 2014;2(5):97-101. doi: 10.11648/j.sjams.20140205.12

Copy | Download

@article{10.11648/j.sjams.20140205.12,
  author = {Vicent Paul Nyakyi and Dmitry Kuznetsov and Yaw Nkansah-Gyekye},
  title = {Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {2},
  number = {5},
  pages = {97-101},
  doi = {10.11648/j.sjams.20140205.12},
  url = {https://doi.org/10.11648/j.sjams.20140205.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20140205.12},
  abstract = {There are several ways in which regression model can be validated. One of the ways is a collection of new data to check model predictions (Snee, 1977). In Nyakyi et al. (2014) a multiple regression model was formulated, analyzed, and discussed to assess motorcycle accidents in Tanzania. The model included several factors which are wrong overtaking, legal status of not owning license, rough road, high speed, mechanical defect, personal status, experience of a driver, and tarmac road. All these factors were considered to be the causes of motorcycle accidents in Tanzania, specifically in Arusha and Kilimanjaro regions. This paper presents the analysis and discussion of the accidents problem using new data collected through questionnaire; the study's results are then compared with the results, predicted by the multiple regression models, for validation. Questionnaires were designed to access the extent to which identified factors cause motorcycle accidents, and the data is obtained from motorcycle stake holders who in this study are considered to have reliable information about motorcycle accidents in Tanzania. The results of the validation indicate that there is a good correlation between the data obtained from the questionnaire and the data produced by the regression model.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania
AU  - Vicent Paul Nyakyi
AU  - Dmitry Kuznetsov
AU  - Yaw Nkansah-Gyekye
Y1  - 2014/09/30
PY  - 2014
N1  - https://doi.org/10.11648/j.sjams.20140205.12
DO  - 10.11648/j.sjams.20140205.12
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 97
EP  - 101
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20140205.12
AB  - There are several ways in which regression model can be validated. One of the ways is a collection of new data to check model predictions (Snee, 1977). In Nyakyi et al. (2014) a multiple regression model was formulated, analyzed, and discussed to assess motorcycle accidents in Tanzania. The model included several factors which are wrong overtaking, legal status of not owning license, rough road, high speed, mechanical defect, personal status, experience of a driver, and tarmac road. All these factors were considered to be the causes of motorcycle accidents in Tanzania, specifically in Arusha and Kilimanjaro regions. This paper presents the analysis and discussion of the accidents problem using new data collected through questionnaire; the study's results are then compared with the results, predicted by the multiple regression models, for validation. Questionnaires were designed to access the extent to which identified factors cause motorcycle accidents, and the data is obtained from motorcycle stake holders who in this study are considered to have reliable information about motorcycle accidents in Tanzania. The results of the validation indicate that there is a good correlation between the data obtained from the questionnaire and the data produced by the regression model.
VL  - 2
IS  - 5
ER  -

Copy | Download