\begin{tabular}{l} How did the dependent variables change while \ influenced by the independent variable? \ $$ \begin{array}{ll} ext { During the influence of the } \ ext { independent variable, there } \ ext { was an increase in young } \ ext { people living with parents. }\end{array} $$ \ $$ \begin{array}{l} ext { During the influence of the } \ ext { independent variable, there } \ ext { was an increase in young } \ ext { people living on their own. }\end{array} $$ \ $$ \begin{array}{ll} ext { During the influence of the } \ ext { independent variable, there } \ ext { was little change in young } \ ext { people living with parents. }\end{array} $$ \ $$ \begin{array}{l} ext { As the independent } \ ext { variable increased, it } \ ext { caused the dependent } \ ext { variable to increase. }\end{array} $$ \ \hline\end{tabular}

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\begin{tabular}{l} How did the dependent variables change while \ influenced by the independent variable? \ $$ \begin{array}{ll}	ext { During the influence of the } \ 	ext { independent variable, there } \ 	ext { was an increase in young } \ 	ext { people living with parents. }\end{array} $$ \ $$ \begin{array}{l}	ext { During the influence of the } \ 	ext { independent variable, there } \ 	ext { was an increase in young } \ 	ext { people living on their own. }\end{array} $$ \ $$ \begin{array}{ll}	ext { During the influence of the } \ 	ext { independent variable, there } \ 	ext { was little change in young } \ 	ext { people living with parents. }\end{array} $$ \ $$ \begin{array}{l}	ext { As the independent } \ 	ext { variable increased, it } \ 	ext { caused the dependent } \ 	ext { variable to increase. }\end{array} $$ \ \hline\end{tabular}

UpStudy AI · Accepted Answer

To analyze how the dependent variables changed while influenced by the independent variable, we can summarize the observations provided in the table:

1. **Increase in Young People Living with Parents**: This suggests that as the independent variable increased, more young people chose to live with their parents.

2. **Increase in Young People Living on Their Own**: This indicates that there was also a rise in the number of young individuals opting to live independently.

3. **Little Change in Young People Living with Parents**: This observation contradicts the first point, suggesting that while some data indicates an increase, there may be periods or conditions under which the number of young people living with parents remained stable.

4. **As the Independent Variable Increased, the Dependent Variable Increased**: This statement reinforces the idea that there is a positive correlation between the independent variable and at least one of the dependent variables, indicating that as one increases, the other tends to increase as well.

### Summary of Relationships:
- The independent variable appears to have a complex influence on the dependent variables, with some showing an increase while others show stability.
- The relationship is not straightforward, as the increase in one dependent variable (living with parents) does not necessarily negate the increase in another (living independently).
- Further analysis may be needed to clarify the conditions under which these changes occur and to understand the underlying factors influencing these trends.

### Conclusion:
The dependent variables exhibit varying responses to the independent variable, indicating a multifaceted relationship that may require deeper investigation to fully understand the dynamics at play.
The dependent variables increased as the independent variable increased, with more young people living with parents and independently. There was little change in those living with parents during the same period.

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