The NFL office discovered data covering attendance at professional football games in the late 1940s and early 1950s. The game wi
th 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 should A. accurately predict game attendance.
B.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.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.predict game attendance accurately because the variable levels (i.e., population, Dow, etc.) are within range of those used to build the regression model.
Regression models are not usually made use of if the need is to predict population, which has to do with number present as well as the stocks of large companies and so on, reason being that their variable levels or confidence interval are usually out of range of those used for a regression
