 # SAS ASSIGNMENT Case Solution & Answer

## SAS ASSIGNMENT Case Solution

Moreover, in the second step the regression model has been generated by taking work satisfaction as dependent variable and work conflict as independent variable. The output and interpretation are shown below:

The adjusted R square value between the two variables is 75.65% and the correlation or the relationship between the two variables is 80.92%. This is a strong positive correlation and dependency. The adjusted r square shows the dependence of the one variable over the other. However, in order to determine that whether this dependency is significant or not, the significant value for F test need to be interpreted. The significant value is 0.004 which is less than the level of significance of 10%, therefore, the overall regression model is significant. The p value for the independent variable is insignificant. Finally, the percentage variation in work satisfaction by work conflict is -0.922 which means that if work conflict increases by 1% then work satisfaction would decrease by -0.922. Overall, this regression model is fitted.

In the third step, the regression model has been generated by taking life satisfaction as the dependent variable and work satisfaction as the independent variable. The output and interpretation is shown below:

The adjusted R square value between the two variables is 68.78% and the correlation or the relationship between the two variables is 71.28%. The adjusted r square shows the dependence of the one variable over the other. However, in order to determine that whether this dependency is significant or not, the significant value for F test needs to be interpreted. The significant value is 0.003 which is less than the level of significance of 10%, therefore, the overall regression model is significant. Finally, the percentage variation in life satisfaction by work satisfaction is 0.908 which means that if work satisfaction increases by 1% then life satisfaction would increase by 0.908. The p value for the independent variable is insignificant. Overall, this regression model is fitted.
2
In this part, the fourth step has been applied and the regression model has been created by taking life satisfaction as dependent and work satisfaction and work conflict as independent. The output and interpretation is shown below:

The adjusted R square value between the three variables is 57.05% and the correlation or the relationship between the two variables is 74.23%. This is a high and positive correlation. The adjusted r square shows the dependence of the one variable over the other. However, in order to determine that whether this dependency is significant or not, the significant value for F test need to be interpreted. The significant value is 0.1308 which is more than the level of significance of 10%, therefore, the overall regression model is not significant. Finally, the percentage variation in life satisfaction by work conflict and work satisfaction is -0.433 and 0.527 respectively which means that if work conflict and work satisfaction increase by 1% then life satisfaction would decrease by -433 and increase by 0.527. Overall, this regression model is notsuitable.
3
Looking at the results of the fourth regression model, if we look at the mediation variable and its significant value then it could be seen that if this mediation variable is controlled, then work conflict variable is also not significant therefore, the finding supports full mediation.
4
Similarly, the mediation approach of the same four steps has been followed for the family satisfaction as the mediation variable between family conflict and life satisfaction as shown in the diagram below:

The outputs for the three regression models for the first three step of the mediation approach are shown in the appendix and the interpretation is as follows:………………

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