FULL SOLUTION
◉ Categorical Variable. Answer: Values are words/labels (not
numbers used for math).
◉ Categorical Variable. Answer: If the variable describes
membership in a group → then it is categorical.
◉ Quantitative Variable. Answer: A variable that represents
numerical values where arithmetic is meaningful.
◉ Quantitative Variable. Answer: Values can be averaged or used to
compute SD or z-scores.
◉ Quantitative Variable. Answer: If you can meaningfully average it
→ then it is quantitative.
◉ Explanatory Variable. Answer: The variable used to explain or
predict the response.
◉ Explanatory Variable. Answer: Appears as the "cause" or predictor
in context.
, ◉ Explanatory Variable. Answer: If it helps explain differences in
another variable → then it is explanatory.
◉ Response Variable. Answer: The outcome measured in a study.
◉ Response Variable. Answer: Appears as the result or endpoint in
context.
◉ Response Variable. Answer: If it is the variable being
predicted/measured → then it is the response.
◉ Confounding Variable. Answer: A variable related to both
explanatory and response variables that distorts results.
◉ Confounding Variable. Answer: Creates a false or misleading
relationship between variables.
◉ Confounding Variable. Answer: If removing it changes the
relationship → then it is confounding.
◉ Mean. Answer: The arithmetic average of data.