| 模型 | 模型答案 | 正确答案 |
|---|---|---|
| 金声玉亮2.0 | B. An alternating pattern in the residuals. Negative residual autocorrelation occurs when the residuals of a regression model alternate between positive and negative values in a systematic way. This is often referred to as an "alternating pattern" in the residuals. This type of pattern can indicate that the model is over-correcting for the relationship between the independent variable(s) and the dependent variable, resulting in residuals that are negatively correlated with each other. |
B |
| deepseekr1 | B. An alternating pattern in the residuals Negative residual autocorrelation occurs when a positive residual is followed by a negative residual, and vice versa, creating an alternating pattern. This contrasts with a cyclical pattern (A), which suggests positive autocorrelation, while randomness (C) or small residuals (D) do not indicate autocorrelation. Answer: B |
B |
| gpto1 | B | B |
| GPT-4o | B. An alternating pattern in the residuals | B |
| llama3.1-70B-Instruct | B |
B |
| llama3.1-405B-Instruct | B. An alternating pattern in the residuals Negative residual autocorrelation occurs when the residuals of a regression model alternate between positive and negative values in a systematic way. This is often referred to as an "alternating pattern" in the residuals. Therefore, the correct answer is B. Here's why the other options are incorrect: A. A cyclical pattern in the residuals would indicate positive autocorrelation, not negative autocorrelation. C. Complete randomness in the residuals would indicate no autocorrelation, not negative autocorrelation. D. Residuals that are all close to zero would indicate a good fit of the model, but it does not necessarily indicate negative autocorrelation. |
B |
| DeepSeek-Coder-V2 | B | B |
| Qwen2-72B-Instruct | B. An alternating pattern in the residuals | B |
| baichuan4 | B | B |
| doubao | B | B |
| minimax | B. An alternating pattern in the residuals | B |
| kimi | B. An alternating pattern in the residuals | B |
| wenxinyiyan | B. An alternating pattern in the residuals Explanation: Negative residual autocorrelation, also known as negative serial correlation, occurs when the residuals from a regression model exhibit a pattern of alternating signs. This pattern suggests that a residual of a given sign is typically followed by a residual of the opposite sign. Such alternating patterns in the residuals are indicative of negative autocorrelation. A. A cyclical pattern in the residuals would suggest a different type of autocorrelation, possibly seasonal or periodic, rather than strictly negative. C. A complete randomness in the residuals would suggest no autocorrelation at all, i.e., the residuals are independently distributed. D. Residuals that are all close to zero do not necessarily indicate any specific type of autocorrelation. They could simply suggest a good fit of the model to the data, with small residuals overall. However, they do not provide direct evidence of negative residual autocorrelation. |
B |
| zhipu | B. An alternating pattern in the residuals Negative residual autocorrelation, also known as negative serial correlation, is typically indicated by an alternating pattern in the residuals. This means that positive residuals are followed by negative residuals and vice versa. This pattern suggests that the current residual is negatively related to the previous residual. |
B |
| gpto1 | B | B |