Answer:
a. increasing job enrichment by establishing client relationships
Explanation:
The job enrichment is the technique for motivation which is given by the business organization with the view that the employee performs his best by giving him additional responsibilities so that the organization can achieve its targets in an efficient and effective manner.
The self -reinforcement is that technique for motivation in which the employee motivates himself so that he is able to work in the best manner.
The job rotation is that technique for motivation in which the employee assigned the two or more tasks in different rotations
Job specialization means that the person who has the interest will take that department. Example - marketing, finance, human resource
The job feedback is given by the employee regarding the salary package, working environment, benefits, etc
Hence, in the given situation the most appropriate option is a.
The operations process for what
Answer:
d. It is best measured using the statistic variance inflation factor (VIF).
Explanation:
Multicollinearity is an important issue in multiple regression model, having many independent/ explanatory variables. Multicollinearity is the situation in which two or more independent variables are highly correlated. It is problematic because it increases the standard error of independent variable coefficient & undermines its statistical significance
Variance Inflation Factor [VIF] is a check & corrective measure of multicollinearity.
- VIF as a multicollinearity check : It quantifies the correlation between one explanatory variable with other explanatory variables.VIF = 1 implies there is no multicollinearity (correlation between independent variables); VIF upto 5 implies there is moderate multicollinearity (correlation between independent variables). VIF > 5 implies high multicollinearity (correlation between independent variables)
- VIF as a multicollinearity correction : Calculating
= σ^2 /
; where TSS = total sum of square of variable j , σ^2 = j variance, R^2 j = R^2 from regressing all other independent variable on variable j