You believe that the number of hours people spend in the labor force is a function of age.In fact,you argue that between the ages of 14 and 21 labor force participation,measured in hours,steadily increases.Between the ages of 22 and 60 it remains fairly constant.From ages 61 on it steadily declines.To analyze data,you should use
A)curvilinear regression.
B)partial regression.
C)multiple regression.
D)path analysis.
E)analysis of variance.

Question

Quizplus · Accepted Answer

Since the relationship between age and labor force participation is not a straight line, we need to use a curve to model the relationship. Curvilinear regression can fit a curve to the data and allow us to test whether the curve is statistically significant or not. This method will be appropriate to analyze the data on age and labor force participation. Therefore, A) Curvilinear regression is the best choice.

You Believe That the Number of Hours People Spend in the Labor