Table 5.
Regression between involvement and income
- #Chapter 11 – Basic Linear Regression
- regress2<-lm(v11~v36, data=y) <–This is your syntax
- summary(regress2)
![](https://blogs.longwood.edu/thomashunkele/files/2023/04/image-7.png)
This regression is saying that income predicts involvement of activities. I hypothesized that families who have a higher income will have more involvement. In other words, how much money you make would influence involvement in an activity.
For every one-unit increase in income, involvement decreases 0.03715 units. Therefore, it appears that involvement of an activity is negatively related to income. This finding is not significant at any level. The R squared statistic is 0.001028, meaning that this model explains 0.10% of the variation in the dependent variable (involvement).