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CPS2228 Mohd Zulhairi Omar et al.
result obtained was 0.73 which fairly close to 1. It showed that there is a strong
linear relationship between these two variables with the presence of outliers.

4. Discussion and Conclusion
The result of this study shows that there is a linear relationship between
the data variables, in this case; the number of employees and value of salaries.
By using Pearson's correlation coefficient measure, the value is not very
significant since there are outliers in the data.
However, if the data is applied with robust correlation coefficient measure, the
result shows that there is strong linear relationship between each other with
the presence of outliers. The evidence from this study suggests that data is
valid with the presence of outliers. The number of workers has a linear
relationship between the salaries with the presence of outliers.

References
1. Barnett, V and Lewis, T 1984, Outliers in Statistical Data, John Wiley and
Sons, New York
2. Department of Statistics Malaysia 2018, Monthly Manufacturing Statistics:
June 2018, viewed 2 December 2018, http://
newss.statistics.gov.my/newss-portalx
3. Gideon, R. A. (2007), The Correlation Coefficients, Journal of Modern
Applied Statistical Methods, 6: 517-529

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