Suppose for the regression run in the previous question, instead of using only Steps, Peak, and Cardio as the independent variables you had used Steps, Peak, Cardio, Mode, Minutes, Gender, GPA, and Life.score. Which of the following is a likely result of including all of these variables, compared with only including the three originally used? Select all that apply. It will be necessary to install more packages. It will be necessary to create a vector of the variables. The resulting model is likely to be more accurate. The resulting model is likely to be more overfit