Example sentences of "it 's [v-ing] [subord] " in BNC.
Next page| No | Sentence |
|---|---|
| 1 | And the rest of the times it 's you know , it 's taking If we could keep going for |
| 2 | It 's looking as though it 's a bit dead that . |
| 3 | But , if it 's ringing because it was successful , i.e. the camp on has matured , and you 've chosen not to look at it , then yes you will have to re-input your camp on . |
| 4 | The delay line i.c. is an expensive device and should only be removed from it 's packing when all construction has been completed and checked . |
| 5 | Whereas restorers in the past speculated on some of the missing elements and snapped in a few flowers here and there , we take the view that if it 's missing when we took the carving down then it will stay missing when we put it back up again . |
| 6 | It 's improving as the year goes on . |
| 7 | Now , the reason why we 're getting a fairly high test statistic is that er , that distribution , although it looks normal on the left hand side , it does n't look particularly normal erm on the right and that we are missing some observations , we are missing some values of the residuals er in one area of the graph , nevertheless if we had a larger sample , right we probably erm , right it does n't look , that looks quite encouraging in actual fact , those residuals do seem to be er normally distributed er what the test statistic is doing er it 's saying it 's performing a , it 's a kiescraper two test , it 's making two restrictions , one of which is saying , is the distribution of these residuals symmetric er and also it 's testing whether there 's one of the tails is a lot larger or a lot longer than the other tail of the distribution and er test statistics fairly high but we would n't reject the null of normality at the five percent level so our test statistic is four point zero eight and the critical value is five point nine nine and that the five percent significance level , so we 've got reasonably er robust residuals . |
| 8 | Right , if you just want to come out of there and we 'll just have a look at the plot of the residuals , if you plot the residuals the test for serial correlation there well the test for serial correlation , right , and try and determine whether there 's a auto regressive structure to those parameters and I think Steve was talking to you about er auto regressions , so what the computer is doing essentially , it is getting the residuals from the model raised and it 's regressing them right on the residuals in the previous period , right , and it 's testing whether this parameter row , right , is significantly different from zero right , now if this is , if row is significantly different from zero , let's say it 's nought point six , that implies the residuals in T are not independent of the residuals in T minus one . |
| 9 | I think it 's deceiving because it 's got such high ceilings |
| 10 | It 's changing because of the , what project ? |
| 11 | ‘ It 's going where we want to go anyway — ‘ |