Question

An investigator is interested in determining the association between caffeine intake (in mg/day, continuous variable) and productivity. The outcome/response is assessed by asking each subject if they feel like they have been productive with a response of yes or no. Which analysis is most appropriate for assessing this association?

One sample test for means

Logistic regression

Two sample test for proportions

One sample test for proportions

Two sample test for means

ANOVA

Linear regression

Answer 1

Logistic regression

Explanation:

The dependent variable productivity is binary in nature, that is, outcome for this variable is given as ‘yes’ or ‘no’. The independent variable caffeine intake is a continuous variable. So, we can use logistic regression model for determining the association between the caffeine intake (in mg/day, continuous variable) and productivity. We know that the dependent variable of the logistic regression is a binary in nature.