1. Identify the proper analysis.

2. Evaluate the relevant assumptions.

3. Run the main analysis, which would could be any of the following:

a. Multiple Regression

b. Binary Logistic Regression

1. A health researcher wants to be able to predict whether the incidence of heart disease can be predicted based on age, weight, gender, and maximal aerobic capacity (VO2 max) (an indicator of fitness and health). To this end, the researcher recruited 100 participants to perform a maximum VO2 max test as well as recording their age, weight, and gender. The participants were also evaluated for the presence of heart disease.

2. Imagine that the record company executive wanted to extend the model of album sales to incorporate other predictors. Before an album is released, the executive notes the amount spent on advertising, the number of times songs from the album are played on a prominent radio station the week before release (Airplay), and ratings of the band's image (Image). They have 200 albums (each by a different band). The credibility of the band's image was rated by a random sample of the target audience on a scale from 0 (dad dancing at a disco) to 10 (sicker than a dog that is eaten a bag of onions). The mode rating was used because the executive was interested in what most people thought, not the average opinion.