In his thesis project, a student analyzes a 2 × 3 table with level of education (university degree versus less than university degree) predicting frequency of strenuous exercise ( weekly). He finds that lambda = 0.48. What should his interpretation be? A) Knowing how frequently a person exercises helps reduce our error in predicting education level by about half. B) Knowing a person's education helps reduce our error in predicting exercise frequency by about half. C) We can assume that there is a moderate relationship, but lambda lacks a PRE interpretation. D) It is inappropriate to calculate lambda for a 2 × 3 table because it is not symmetrical. He should change the table to be 2 × 2 or 3 × 3 before computing lambda.

Question

In his thesis project, a student analyzes a 2 × 3 table with level of education (university degree versus less than university degree) predicting frequency of strenuous exercise (< weekly, weekly, > weekly). He finds that lambda = 0.48. What should his interpretation be?
A) Knowing how frequently a person exercises helps reduce our error in predicting education level by about half.
B) Knowing a person's education helps reduce our error in predicting exercise frequency by about half.
C) We can assume that there is a moderate relationship, but lambda lacks a PRE interpretation.
D) It is inappropriate to calculate lambda for a 2 × 3 table because it is not symmetrical. He should change the table to be 2 × 2 or 3 × 3 before computing lambda.

Quizplus · Accepted Answer

Lambda is a measure of association that indicates the proportionate reduction in error (PRE) when predicting the dependent variable (exercise frequency) from the independent variable (education level).

In His Thesis Project, a Student Analyzes a 2 ×