In each scenario below, specify each variable as a responsevariable, an explanatory variable, or neither. Explain yourchoices.

a. A climatologist wishes to predict future monthly rainfall inLos Angeles. To inform his predictive model, for each month of thepast 30 years, he records the name of the month (Jan.-Dec.), totalrainfall (mm), and the Oceanic Niño Index (a measure of sea surfacetemperature differences, in ºC).

b. A researcher conducts an experiment in a residence for seniorcitizens to investigate the effect of floor type on the risk offall-related injury. For each individual in the facility, sherecords 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 theysustained over the previous two years. myquestion : are the age and the number of fall related injuries overthe previous two year also the explanatory variables?

c. A medical researcher studies a group of boys, recording theage at which they reach puberty (years) and their BMI (kg/m2) atthat time. Her goal is to quantify the association between thesetwo 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 surfacetemperature differences, in ºC)

Response variable: total rainfall (mm),

b.Explanatory variable: the type of flooring (either standardflooring or a new, rubber flooring that absorbs the impact offalls) in their room, their age, the number of fall-relatedinjuries that they sustained over the previous two years.

c. Neither: the age at which they reach puberty (years) andtheir BMI (kg/m2) at that time