Match the statistics with the scenario in this question. The objective of the study was to predict patients' weights in Kg (score can range from 50 to 250) from age, gender, and ba... Match the statistics with the scenario in this question. The objective of the study was to predict patients' weights in Kg (score can range from 50 to 250) from age, gender, and baseline blood pressure score.
Understand the Problem
The question is asking to match various statistical methods with a scenario that involves predicting patients' weights based on age, gender, and blood pressure. It seeks to determine the most appropriate regression method for the given situation.
Answer
Multiple linear regression.
The final answer is Multiple linear regression.
Answer for screen readers
The final answer is Multiple linear regression.
More Information
Multiple linear regression is used when predicting a continuous outcome, like weight, using multiple predictors, such as age, gender, and blood pressure.
Tips
A common mistake is confusing between linear and logistic regression. Logistic regression is for categorical outcomes, while linear regression is for continuous outcomes.
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