In: Statistics and Probability
In each scenario below, specify each variable as a response variable, an explanatory variable, or neither. Explain your choices.
a. A climatologist wishes to predict future monthly rainfall in Los Angeles. To inform his predictive model, for each month of the past 30 years, he records the name of the month (Jan.-Dec.), total rainfall (mm), and the Oceanic Niño Index (a measure of sea surface temperature differences, in ºC).
b. A researcher conducts an experiment in a residence for senior citizens to investigate the effect of floor type on the risk of fall-related injury. For each individual in the facility, she records the type of flooring (either standard flooring or a new, rubber flooring that absorbs the impact of falls) in their room, their age, and the number of fall-related injuries that they sustained over the previous two years. my question : are the age and the number of fall related injuries over the previous two year also the explanatory variables?
c. A medical researcher studies a group of boys, recording the age at which they reach puberty (years) and their BMI (kg/m2) at that time. Her goal is to quantify the association between these two variables.
My answer: is this correct?
a. Explanatory variable : records the name of the month (Jan.-Dec.), the Oceanic Niño Index (a measure of sea surface temperature differences, in ºC)
Response variable: total rainfall (mm),
b.Explanatory variable: the type of flooring (either standard flooring or a new, rubber flooring that absorbs the impact of falls) in their room, their age, the number of fall-related injuries that they sustained over the previous two years.
c. Neither: the age at which they reach puberty (years) and their BMI (kg/m2) at that time