Therefore, in order to reduce bias, increase precision and enhance statistical power it is imperative that researchers use appropriate methods for their analysis.18There is also a need for the different statistical methods for ITS analysis to be identified and compared to inform researchers of the available methods and inform future research regarding the strengths and limitations of the methods as well as identify methodological gaps which will pave the way for improvements in ITS design and analysis.

1. Assess the strength of the linear relationship- the correlation coefficient while discussing the injections to the human resource management

2.describe the Predictions within the range of the sample data that can be incorporated to determine the ratio of work piece rate in job analysis of the HRM department

3.raise the questions that ought to be asked in the HRM assessment of the Estimation, error and residuals and the events that follow there after

4.set the Computer generated solution for a linear regression model theoretically to make the work of the departmentof the HRM easier

5.propose and examine the underlying assumptions that make Statistical influence in linear regression analysis for human resource

6.commemorate on the Testing the population correlation coefficient evaluation in the field of human resource

7.what is the implication of the survival downward the grind of graph for the HRM Hypothesis test on the slope of the simple regression line

8. estimate the factors that encompass and accrue to the further assumption of the Confidence interval for individual values of y for given value of x

9.discuss the concept of the moving average technique and how it influences the human resource managementteam in decision making

10.in the additives of the components of the human resource management ;demonstrate the use of thepressing goal of using the analysis of an additive component model A = T + S + E to arrive at conclusions