To determine the number of variables in the given dataset, we need to look at the column headers of the table, since each header represents a different variable.
Here's a list of the headers:
1. Male
2. Age
3. Eye Color
4. Shoe Size
5. Height (inches)
6. Weight (pounds)
7. Number of Siblings
8. College Units This Term
9. Handedness
Each of these headers denotes a unique characteristic that is recorded for each student in the dataset. Therefore, the total number of variables corresponds to the number of different column headers listed.
Counting the items in the list, we get:
1. Male
2. Age
3. Eye Color
4. Shoe Size
5. Height (inches)
6. Weight (pounds)
7. Number of Siblings
8. College Units This Term
9. Handedness
In total, there are 9 different variables.
Thus, there are [tex]\(\boxed{9}\)[/tex] variables in the given dataset.
