Example sentences of "just [verb] a look " in BNC.

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1 But that does n't load it , that just has a look does n't it ?
2 Just having a look . ’
3 He had no particular object in mind , but was just having a look around .
4 Y yes we 're just we 're just having a look at the the spellings at the moment trying to make some sense of them .
5 Erm just before we break , erm it might be worthwhile just having a look at a few examples .
6 No damage , no mischief , just having a look .
7 Hmm no I was just having a look .
8 And I heard the bathroom window open and I went in there , I was just having a look , admiring my little shed roof there !
9 ‘ May we just have a look down here ? ’ he asked appealingly .
10 Can I just have a look Kath ?
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 So let's just have a look then at what our statutory rights are under the Sale of Goods Act .
15 Let's , let's just have a look at what those phrases mean in plain Eng in plain English .
16 Now let's just have a look at some problem areas .
17 Let's just have a look at the dressing . ’
18 Because we 've got , and you 've seen this before , we 'll just have a look , get this right if you can .
19 Now I 'd like you to just have a look at these for next time erm and work them out on the number line .
20 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 .
21 Let's just have a look at this one again .
22 Let's just have a look
23 Let's just have a look at the erm , let's do the who 've we got , Bill ?
24 Right now , I 've got some data here which says , let's just have a look er well the important point is that , oh yes , okay , erm , I 'll just read this out developed countries dominate most aspects of world agricultural trade , as exporters or importers , they were involved in eighty seven percent of all world trade in nineteen eighty eight .
25 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 .
26 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 .
27 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 .
28 Let's just have a look at what happens as we increase the lab , the labour output .
29 Let's just have a look at what you 've actually achieved .
30 Let's just have a look at them have you got the general conditions here ?
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