The data science team is working on a classification problem in which the dataset contains many correlated variables, and most of them are categorical variables. Which classifier should the team consider using? why?

to find the total number of combinations, multiply the quantity of each item by each other:

2 pairs of shoes x 3 pairs of shorts = 6 different combinations.

the answer on ed. is:

c. "the graph of f(x) has exactly two x-intercepts."

hope i could someone! : )