Question
Match the terms with the description that fits best.
Prompt 1Positive relationship
Answer for prompt 1 Positive relationship
Prompt 2Negative relationship
Answer for prompt 2 Negative relationship
Prompt 3Outlier
Answer for prompt 3 Outlier
Prompt 4Linear
Answer for prompt 4 Linear
Prompt 5Nonlinear
Answer for prompt 5 Nonlinear
Prompt 6Frequency
Answer for prompt 6 Frequency
Prompt 7Prediction
Prompt 1Positive relationship
Answer for prompt 1 Positive relationship
Prompt 2Negative relationship
Answer for prompt 2 Negative relationship
Prompt 3Outlier
Answer for prompt 3 Outlier
Prompt 4Linear
Answer for prompt 4 Linear
Prompt 5Nonlinear
Answer for prompt 5 Nonlinear
Prompt 6Frequency
Answer for prompt 6 Frequency
Prompt 7Prediction
Answers
GPT-4o mini
Here are the matched terms with their descriptions:
1. **Positive relationship**: A relationship where, as one variable increases, the other variable also increases.
2. **Negative relationship**: A relationship where, as one variable increases, the other variable decreases.
3. **Outlier**: A data point that differs significantly from other observations in a dataset.
4. **Linear**: A relationship that can be represented with a straight line in a graph, characterized by a constant rate of change.
5. **Nonlinear**: A relationship that cannot be represented with a straight line; the rate of change varies.
6. **Frequency**: The number of times a particular value or category occurs in a dataset.
7. **Prediction**: The process of using data to forecast future values or outcomes based on existing patterns.
1. **Positive relationship**: A relationship where, as one variable increases, the other variable also increases.
2. **Negative relationship**: A relationship where, as one variable increases, the other variable decreases.
3. **Outlier**: A data point that differs significantly from other observations in a dataset.
4. **Linear**: A relationship that can be represented with a straight line in a graph, characterized by a constant rate of change.
5. **Nonlinear**: A relationship that cannot be represented with a straight line; the rate of change varies.
6. **Frequency**: The number of times a particular value or category occurs in a dataset.
7. **Prediction**: The process of using data to forecast future values or outcomes based on existing patterns.