ABSTRACT
The research dealt with the elimination of the outliers effect on results
of fitting the linear regression models. Also the research aims to arrive at
a reliable detecting and treating ways which described as competency,
unbiased, and usability. So a proposed new ways, which included a way
for detecting outliers observation followed by a graphical measure so as
to determine the outliers size, and a way to treat the outliers values
substituted them with new ones. These ways has been applied on 35
simple linear regression models, and 31 multi linear regression models
for testing the hypothesis concerning in the proficiency ratio and the
biasness naught of the proposed ways in eliminating the outliers effect on
results of fitting the linear regression models, and the hypothesis
concerning of estimating the outliers numbers in the linear regression
model. The research depended on the inference method to estimate the
rational proficiency means, and the comparing method for the parameters
means that witch obtained from among the practice of model fitted by
SPSS, and the Microsoft Exile Program in calculating the mathematical
functions of the proposed ways. The important results in this research
showed the proposed ways netted a high proficiency in detecting and
treating outliers, noted the enhancement of the linear model parameters
as R & F 2 value raised and MSE value diminishes, with addition to
that proposed ways appears more efficiency and more unbiased than the
other previous ways. The important recommendation of this research is to
see if it is available to include the proposed ways in SPSS program to be
as an updating for the part concerning in the linear regression analysis method.
Kwaghgee, A. (2021). Ways To Eliminate The Outliers Effect On The Linear Regression Model. Afribary. Retrieved from https://tracking.afribary.com/works/ways-to-eliminate-the-outliers-effect-on-the-linear-regression-model
Kwaghgee, Abraham "Ways To Eliminate The Outliers Effect On The Linear Regression Model" Afribary. Afribary, 19 May. 2021, https://tracking.afribary.com/works/ways-to-eliminate-the-outliers-effect-on-the-linear-regression-model. Accessed 23 Nov. 2024.
Kwaghgee, Abraham . "Ways To Eliminate The Outliers Effect On The Linear Regression Model". Afribary, Afribary, 19 May. 2021. Web. 23 Nov. 2024. < https://tracking.afribary.com/works/ways-to-eliminate-the-outliers-effect-on-the-linear-regression-model >.
Kwaghgee, Abraham . "Ways To Eliminate The Outliers Effect On The Linear Regression Model" Afribary (2021). Accessed November 23, 2024. https://tracking.afribary.com/works/ways-to-eliminate-the-outliers-effect-on-the-linear-regression-model