| 1. | R2 generally increases when a regressor is added to a regression
当回归中加入另外的解释变量时， r2通常会上升。 |
| 2. | Multiple regression models can accommodate many explanatory variables that may be correlated
多元回归模型能容许很多解释变量，而这些变量可以是相关的。 |
| 3. | R2 can never decrease when another independent variable is added to a regression , and usually will increase
当回归中加入另外的解释变量时， r2决不会下降，通常会上升。 |
| 4. | Many authors considered statistical analysis of clinical trials with noncompliance . among them are efron and feldman
Feldman ，他们首次在模型中把依从性看作临床试验的解释变量。 |
| 5. | This article is concerned with the clinical trials in which the compliance is measured with random errors
本文考虑一类临床试验中的解释变量即依从性( compliance )有随机量测误差的情形。 |
| 6. | Thus , this paper create the forcasting model of real payment terms according to borrowers ’ families income expectation
据此构建以借款人家庭收入预测为解释变量的实际清偿年限预测模型。 |
| 7. | Exception : if the new regressor is perfectly multicollinear with the original regressors , then ols cannot be implemented
例外：如果这个新解释变量与原有的解释变量完全共线，那么ols不能使用。 |
| 8. | If ols chooses any value other than zero , it must be that this value reduced the ssr relative to the regression that excludes the regressor
如果ols使此解释变量取任何非零系数，那么加入此变量之后， ssr降低了。 |
| 9. | 3 、 mixed forecasting models include many explanation variables . the forecasting accuracy will be fail if there is linearity between variables
3 、由于预测模型中的解释变量较多,变量间若存在共线性会降低模型绩效。 |
| 10. | If this increase is large enough relative to the ssr in the model with all of the variables , then we can reject the null hypothesis
如果相对于包括所有解释变量的模型,新的ssr的上升足够大的话,那么我们就能拒绝原假设 |
