Example sentences of "[adv] have a [noun sg] at " in BNC.

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1 But it 's something that I think someone can only have a go at if they have a great deal of support and a chance to experiment in a way that still gives them the option erm not to change if they feel that they ca n't handle it any other way erm so I think there are a lot of difficulties associated with this kind of problem .
2 I think we 'd better have a look at equations actually .
3 ‘ I 'd better have a look at you . ’
4 ‘ I think somebody better have a look at John , ’ she says .
5 ‘ I 'd better have a look at it first . ’
6 I I was only off the plane just last week I 'd better have a look at this
7 Right in that case we 'd better have a look at that now .
8 Yeah , then they 'll all have a go at her .
9 erm I 'm not going to keep you very long because I 've nearly finished talking so erm when I 've finished perhaps you would like to bring some of your things up and put them on the table and we can all have a look at them .
10 Well what we 'll do is we 'll do , we 'll just have a pump at the side of the till .
11 Erm we 'll just have a look at what we 've got .
12 I want to just have a look at this .
13 Now what I want you to do I want to just have a look at it now and I want you to play with it over the holiday on your own .
14 Let's , let's just have a look at what those phrases mean in plain Eng in plain English .
15 Now let's just have a look at some problem areas .
16 Let's just have a look at the dressing . ’
17 Now I 'd like you to just have a look at these for next time erm and work them out on the number line .
18 Let's just have a look at some of the statistics from that eventful first half and er an eye-catching one at the bottom there look fouls conceded twelve to Leicester four to Nottingham Forest .
19 Let's just have a look at this one again .
20 Let's just have a look at the erm , let's do the who 've we got , Bill ?
21 Before we move on , let's just have a look at those numerical estimates , can we look at the coefficients on income , notice that in this model because we 've logged both dependent and the independent variables , right , the coefficients that we estimate are elasticities , right , so we can read those coefficients off directly as elasticities and that 's the case for any model in which all the variables are logged right , in er , if we did n't log the data , in order to calculate the elasticity we have to multiply a coefficient the computer gives us by a erm price quantity ratio , price less , less part of the income constant ratio to obtain the income elasticities .
22 Right so the functional form test , if we look at the kie squared version , right , again we 've got a very small er test statistic implying there 's no breach of functional form right , the , the log er specification , right , seems to be working okay , there 's no problems with it erm if we now look at normality we 've got a bit of a problem with normality , right in that our test statistic is now four point nine , if we look at the critical value at the five percent level of kie when kie squared two , ah it 's not too bad , our five percent critical value of the kie squared two is five point nine nine , so although that test statistic is reasonably high , I mean you 'd probably reject , oh yes , we can reject the null at ten percent of normally distributed errors we would n't reject the null at five percent erm let's just have a look at in actual fact at those errors to see what the problem is .
23 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 .
24 Let's just have a look at what happens as we increase the lab , the labour output .
25 Let's just have a look at what you 've actually achieved .
26 Let's just have a look at them have you got the general conditions here ?
27 Now let's just have a look at what we 're doing .
28 Let's just have a look at your erm camera .
29 Right , let's just have a look at this other dress .
30 That 'll be , that 'll be alright , let's just have a look at the
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