Example sentences of "[adv] [adv] [pron] have " in BNC.
Next page| No | Sentence |
|---|---|
| 1 | We have the backing , we have the training — most importantly we have the people . |
| 2 | I remember Glyn and the kids were very young I think some of the were born in Blaenau erm and they were dismantling an old quarry at there his brother W R from Harlech had bought it usa like a machinery merchant and Glyn then borrowed a lot of tools off me for dismantling it then we started we we 'd done a lot off and on together we 'd been in er I enjoyed working with him , he was the type of man very hard worker himself but he wanted his pound of flesh . |
| 3 | Well , most obviously I have learnt that what is good for me can not necessarily be applied to everyone , although I still tend to dish out unsolicited advice . |
| 4 | The testicle had been dead so they had taken it out and sent it off for tests . |
| 5 | Okay , right so we 've cleaned it , now what we gon na do ? |
| 6 | Right so we 've got Paul and the three new C P Os who would like to go on some training right |
| 7 | Right so we 've agreed on a maximum of sixteen and three quarter percent paper wastage , three hours setting up time , and er , four and half hours printing . |
| 8 | Right so we 've got to go to Smiths . |
| 9 | Right so we 've got our equation now S is equal to a half some constant let's call it G |
| 10 | got a very low test statistic either in terms of kie or F right so we have n't reached but the model is still a poor model because we do n't have erm er stable parameters , right , so you would actually reject this model as it stands , alright , because it did n't pass the diagnostic test statistics but there is no point generating parameters w if they , if they are not constant and you 're gon na say elastic demand is one point four six or really it it 's ranged between minus three plus , plus six over the sample , so you put estimate means so it must have constant parameters . |
| 11 | Well perhaps because they were more idealist and that now they 're becoming more realist but they 're still erm I mean they 're learning from their past mistakes and they 've seen that right so we have to have a moderate policy which is gon na take us a little bit further towards socialism . |
| 12 | Right so we have n't had a price increase ? |
| 13 | Right so we have n't yet done the T G I costing for example ? |
| 14 | Right so what have we get we 've got one O negative |
| 15 | Right so what have we got here ? |
| 16 | and I said right so I had gammon pineapple peas and chips right ? |
| 17 | Erm so what I 've done is said , Are these for use in U K or export ? and these are for use in the U K. Right so I 've said well we 'll probably give you a price relating to that then . |
| 18 | I just do n't know what was wrong with it , I 've work , Jason said Ja we a subject turned to what he wore in bed Ja and Jason said nothing , right but he said when it 's winter I wear my t-shirt and the pants and I cuddle up to my glow worm and we was all taking the mickey out of his glow worm , right so I 've come home and I read the paper and I 'll see glow worm in it , so I cut it out and give it to him and he stuck it up in the factory ! |
| 19 | is that the cat meowing then ? tough luck if you want to go out , right so I 've got this , butter , sugar , flour eggs , salt , lemon juice , I have n't got any |
| 20 | Oh I know but saying that I think my kiddies ' school 's all right so I 've got |
| 21 | right so I have n't had a briefing on that so I can . |
| 22 | Right so I have accepted |
| 23 | Right , what we 're now going to do is incorporate that dummy variable as the regressor in our model as an explanatory variable , so what 's going to happen is that that dummy variable is turned off , alright in the first part of the sample right up until the war that dummy variable 's going to be off , right so it has a value of zero , right , then in nineteen forty through to nineteen forty five it 's switched on and what it 's going to do is to pick up any differential effects , right , in the intercept between wartime and peacetime right , we 'll talk a little bit more , more about that in a second , we 're going to add it in as a regressor , right , because it only comes on during the wartime it will pick up any shift in the intercept , right , that occurs due to the war if there is one , of course there may not be but it 's quite likely that there , there may well be , so if you type Q to come out of the data processing environment , go back to the action menu and test estimate forecast okay at the dialog box just add D one to your list of explanatory variables , alright then press the end key , right , yeah we 're gon na use the full sample right , we gon na use O L S , right you have now estimated the model with this dummy variable now just to see what 's happened to those coefficients the er incoming elasticity was at nought point six is now doubled right to one point one four more importantly , right , its T ratio has jumped from one point eight five right to six point eight , as a result , we now say that the incoming elasticity , the income coefficients , right , the significant zero , it 's important to explain the textiles as such the er , we are now getting a very different estimate for our |
| 24 | Yeah , luckily enough she 's just been able enough to do her own thing ai n't she ? |
| 25 | She went back into the lounge and sat with Fritz , finding out how remarkably much they had in common , until they were joined by Rosa and other friends and spent two magical hours until , at 10.00 , she stood up . |
| 26 | I never said anything then he er I could see he 'd gone cos he just stood there for about ten minutes like th and everybody else was working , he just stood there like this for about ten minutes by the rack see him doing nothing I never said nothing he come charging through with a rack and knocked all the pallet over what they just stacked up with fifty boxes on so we had to make that right and he stacked a load of L T M boxes which are temperamental anyway and he had n't pulled the wrap tight so as soon the bloke lift them up with the forklift , they fell all over ! |
| 27 | So the order 's on so I 've got to try and argue the toss with her |
| 28 | It 's just the way they roll the curler on so I 've been told but erm whether it 's simple as that or not I do n't know . |
| 29 | It was hanging on so I had to take it off they are a bloody nuisance them racks you know , dangerous |
| 30 | So presumably they 've got to manage it themselves |