A) screen.
B) transition.
C) demographic question.
D) warm-up.
E) complicated question.
The National Football League office discovered data covering attendance at
professional football games in the late 1940s and early 1950s. The game with the
highest attendance was between the St. Louis Cardinals and the New York Giants. The
office also found considerable information that someone had collected on each game
day, such as the level of GDP, the DOW, numbers of persons employed, number of new
businesses formed during the week preceding the game, and the population. A student
intern took the information and built a regression model to predict game attendance for
the upcoming season. The model:
A) should accurately predict game attendance.
B) should not predict game attendance accurately because the variable levels of today
(i.e., population, DOW, etc.) are out of range of those used to build the regression
model.
C) should predict game attendance accurately because the variable levels of today (i.e.,
population, DOW, etc.) are out of range of those used to build the regression model.
D) should predict game attendance accurately because the variable levels (i.e.,
population, DOW, etc.) are within range of those used to build the regression model.
E) does not have enough information.