True or False: Regression models can be used to predict continuous outcomes

Question

True or False: Regression models can be used to predict continuous outcomes

BlackTom AI · Accepted Answer

Here we analyze the statement and the two answer choices to understand what regression models do.
Option 1: 'True' — Regression models can be used to predict continuous outcomes. This is a core use of regression in statistics and machine learning. Methods such as linear regression, polynomial regression, ridge/lasso regression, and more advanced techniques (e.g., elastic net, Gaussian process regression) are explicitly designed to map input features to a numeric, continuous target variable. The predicted values are numeric and can take on any value within a range depending on the model and data. This makes regression a natural tool for predicting quantities like height, price, temperature, or reaction time. 
Option 2: 'False' — This statement claims that regression models cannot predict continuous outcomes. This is inaccurate because the defining purpose of regression is to model and predict a continuous target variable. Saying regression cannot predict continuous outcomes contradicts the fundamental definition of regression analysis and ignores the wide range of regression techniques that are specifically designed for continuous targets. Misconceptions here might arise from confusing regression with classification (which predicts categorical outcomes) or from thinking regression only applies to simple models, when in fact it covers a broad family of methods capable of handling diverse continuous targets. 
In summary, the idea that regression models cannot predict continuous outcomes conflicts with both the foundational concept and practical applications of regression techniques, while the statement that they can predict continuous outcomes aligns with standard statistical practice. The contrast hinges on distinguishing regression (continuous targets) from classification (categorical targets) and recognizing the breadth of regression methods available for continuous prediction.

EPI 202 Week 4: Self Assessment: Linear Regression

True or False: Regression models can be used to predict continuous outcomes

查看解析

登录即可查看完整答案

类似问题

TB MC Qu. 08-43 Which of the following is... Which of the following is a predictive analytics technique used to estimate a specific dependent variable outcome based on independent variable inputs?

TB MC Qu. 13-15 Forecasting product demand exclusively... Forecasting product demand exclusively using multiple possible predictive factors is an example of which analytics technique?

Question10 If we wanted to use a data set to predict the outcome of future results what type of statistical analysis should we use ?Select one alternative: Difference Variance Correlation Regression Reset

Which model is suitable for predicting a continuous outcome?

An empirical prediction:

What determines values for an unknown continuous variable behavior or estimated future value?

What is the primary goal of regression analysis?

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单