If you want to know whether coffee consumption predicts group membership

If you want to know whether coffee consumption predicts group membership:

a. What is the predictor or the independent variable?
b. What is the criterion or the dependent variable?
c. Do you have an idea what R2 will be?

The correct answer and explanation is :

To answer your question correctly, let’s break it down:

a. What is the predictor or the independent variable?

In this case, coffee consumption is the predictor or independent variable. The independent variable is the variable that is being manipulated or measured to see if it influences the dependent variable (in this case, group membership). Coffee consumption will be measured, and its relationship with the stress levels or group membership is analyzed.

b. What is the criterion or the dependent variable?

The group membership is the criterion or dependent variable. The dependent variable is the one that is affected by or depends on the independent variable. In this case, group membership could refer to the classification into different stress levels (high or low) or a similar categorization based on coffee consumption.

c. Do you have an idea what R² will be?

R² (R-squared) measures how much of the variance in the dependent variable (group membership) is explained by the independent variable (coffee consumption). If we assume that the relationship between coffee consumption and stress is strong, we might expect a moderate to high R². However, without the actual data, it’s not possible to predict the exact value of R². Typically, an R² value close to 1 means that the independent variable explains most of the variance in the dependent variable, while a value close to 0 indicates that the independent variable explains very little of the variance.

Scroll to Top