4.1.2.3.Homoscedasticity :
The variance of the residual term should be constant. The assumption of Homoscedasticity was assessed by the plot of standardized residuals against standardized predicted values according to the recommendations of Field (2005). As we have seen in figure3 it can be assured that the point are random and evenly throughout the scattered diagram and no evidence of funnel like shape of points on one side than the other is observed, so no hetero scedasticity in the data is confirmed.
Figure 3 Scatter plot Dependant variable: BSC implementation Table 20. Model fitness
Model R R square Adjusted
Square Std. Error of the estimate R square
Change
1 .977a .954 .952 .15170 352.435
Source:-own survey 2017(product
*…show more content…*

Automation had positive and insignificant effect on BSC Implementation with a beat value 0.026 at which p(0.257) >0.01).It indicated that only 2.6% of BSC implementation was predicted or determined by automation. Cascading had positive and insignificant effect on BSC Implementation with a beat value 0.027 at which P(0.57)>0.01.It indicated that only 2.7% of BSC implementation was predicted or determined by cascading it was less contribution for BSC implementation success. Evaluation had positive and insignificant effect on BSC Implementation with a beat value 0.026 at which P(0.365) (p>0.01).It indicated that only 2.6% of BSC implementation was predicted or determined by evaluation. 4.2. Discussion of the research Table 23Result summary of hypothesis testing H1 Assessment had positive significant effect on BSC implementation success P(000)0.01 Reject H7 Automation had positive significant effect on BSC implementation success P(0.252)>0.01 Reject H8 Cascading had positive significant effect on BSC implementation success P(0.057)>0.01 Reject H9

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