For the same set of observations on a specified dependent variable, two different independent variables were used to develop 2 simple linear regression models. The results are summarized as follows:
Based on the above results, we can conclude that
A、a prediction based on Model I is likely better than a prediction based on Model II.
B、a prediction based on Model II is likely better than a prediction based on Model I.
C、the SSE for Model II is smaller than the SSE for Model I.
D、the total variation is different for Model I and Model II.