What is the primary goal of regression analysis?

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BlackTom AI · Accepted Answer

The prompt presents a question about the primary goal of regression analysis and provides a correct answer: "Predict continuous outcomes".

Because no answer options are supplied in the dataset (the answer_options field is empty), we cannot compare multiple choices or evaluate incorrect alternatives. Instead, we can reason about the stated correct answer itself and why it is the core objective of regression.

First, regression analysis is a statistical method used to model and examine the relationship between one or more independent variables (predictors) and a dependent variable (outcome). The hallmark of regression is to estimate the functional form of this relationship in order to make predictions about the dependent variable.

Key reasoning supporting the statement:
- Output type: In regression, the outcome variable is typically continuous (e.g., height, temperature, house price). The primary aim is to predict the actual numeric value rather than categorize observations.
- Prediction focus: A central objective is to minimize prediction error, often quantified by metrics like mean squared error (MSE) or root mean squared error (RMSE), to make accurate numeric predictions on new data.
- Relationship estimation: While understanding relationships and the strength of associations (e.g., coefficients, effect sizes) is important, the practical raison d’être of regression is to forecast a continuous outcome based on input features.

If there were multiple options, we would evaluate each in light of these principles: options claiming classification, probabilistic labeling, or non-predictive purposes would be incorrect for standard regression, while statements aligning with predicting continuous outcomes would be correct.

In sum, regression analysis centers on predicting numeric, continuous outcomes from predictor variables, which aligns with the provided correct answer.

Summer 2025 CECS 0927 02 Quiz 6.1

What is the primary goal of regression analysis?

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

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?

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