Question

Aerobic fitness is measured by the ability to consume oxygen. Collecting oxygen consumption measurements data to investigate aerobic fitness can be expensive and cumbersome. A study was conducted at North Carolina State University to examine which measurements from simple exercise tests could be used to predict aerobic fitness. The sample consisted of 31 men involved in a physical fitness course at North Carolina State University. The oxygen intake rate (ml per kg body weight per minute) was measured while the men were running. The other variables collected were age (years), weight (kg), time to run 1.5 miles (minutes), heart rate while resting (beats per minute, bpm), heart rate while running (bpm), and maximum heart rate recorded while running (bpm). It is important to note that the maximum heart rate was highly correlated with the heart rate while running, so the model presented here includes only one of these variables (the latter) to avoid multicollinearity issues. Using a 0.05 significance level, we need to determine whether aerobic fitness (oxygen intake rate) can be predicted from these simple exercise test measurements. 43. What type of analysis is this? a. Linear regression b. One-way ANOV A c. Two-way ANOVA d. ANCOV A e. Logistic regression

Answer 1

From the given information above,

There are explantory variables in the data.

This is a linear Regression analysis.