Example sentences of "[pron] just [vb base] at the " in BNC.

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1 I just look at the aircraft and wonder ‘ Is this one going to stay up there ’ .
2 I just look , I just look at the shelves and I look to see what they 've got and
3 I just wonder at the necessity of it in an area that already has two golf-courses to its credit .
4 If you just look at the er the sheet , that we 've handed out , they loaded from er from the computer it 's that data that 's in front of you , right , we 've got three , three series , right , it 's times data , right , from nineteen twenty three to nineteen forty five , right and the three variables are , textile consumption , United States er real , sorry is benevolence of the U S , so it 's textile consumption , capita , real income er per capita income to be adjusted through inflation , so constant money terms and what the relative price of textiles P erm the price of textiles relative to the general level er the general price level .
5 Right with those parameters , so if you just look at the er coefficional income , if we estimate the coefficional income to be nought point five right , over the entire sample , the then subsequently find out if that coefficient varies from year to year from minus six plus ten , right , having a one point estimate , right , er oh that coefficient is not going to be particularly useful to us , we want to know er whether our coefficients remain reasonably constant throughout our sample period , particularly if we 're using this er equation to make out of sample predictions , right .
6 Right , so normally we , you know , we want to be reasonably confident , right , so we want to have a reasonably small significance level we do n't want that significance level to be too small , otherwise the power of the test will diminish very rapidly so we normally use the ten or the five percent , five percent level and if you just look at the er the five percent column , right , overall realistic sample sizes , right , from a hundred and twenty down to , to about twenty , I , those T ratios were the critical value they are all about two and that 's why we say you can have a T ratio of about greater than two , then you can be at least ninety five percent confident about your inference .
7 Now if we just look at the er test statistics for this particular model , right , if we chose say the five percent significance level right , then we can see serial correlation , we 've got a test statistic of two point zero eight , right , we would n't reject the null hypothesis there , the null is that we have no serial correlation , we have uncorrelated errors right , clearly we want uncorrelated errors , right , so we 'd be quite happy with that particular test statistic , it does n't exceed the er five percent critical value .
8 Some are completely on another plateau , you know , they 're just not in the real world ; they wander round and do n't make eye-contact unless they 're talking to you ; they just look at the ceiling all the time when they 're lecturing .
9 They just look at the report in the paper and say how on earth was this man fined fifty pounds for this offence .
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