Sentences with phrase «trend lines gives»

The trend line gives the misleading impression that there has been a constant but noisy rise in global temperatures.

But can you point to a half century at any time in the past millennium where fitting a trend line gives a slope (up or down) of anywhere near a degree per century (0.01 degrees per year or 0.1 degrees per decade)?

Not exact matches

Given this change in expectations, Johnston noted that «an increasingly common trend in human resources is to decentralize the HR function and make it accountable to specific line management.

«Snap's ad revenue reaccelerated in the fourth quarter as a result of strong seasonal trends for branded advertising, demand for new ad formats, as well as steadily improving user trends... Given the strong results and a clear step forward for Snap's ad business, we are upgrading our rating to in - line from underperform.»

Bottom line: We believe non-U.S. stocks, particularly cyclicals, offer rewards given our expectations for sustained, above - trend global growth, relatively attractive valuations and accommodative central banks.

The daily chart also gives us a view that suggests that XRP was likely to close (as at 5 March) above $ 1.04329 (descending trend - line resistance on the daily chart), signaling a bullish breakout on the charts.

Bottom line, concerns that underlying trends would get worse will carry over beyond the first quarter given the «rapidly evolving» consumer and retail landscape.

In Page's most recent quarter, it posted double - digit growth in gross profits in every region, except the U.K. Given the company's significant exposure to the permanent placement market — a high - margin business — we believe that strong top - line trends will continue to grow Page's profits in the coming years.

For example, the omnipresence of extremely thin fashion models in American magazine ads gave rise to a demand for «large size» models: frankly heavy women for whom there are now special lines of designer fashions (though it is worth noting that this trend has not extended to men's clothing ads — nor has it shown up on television).

«Sabra is well - positioned to continue growth and is in line with customer trends, giving them great products.

I think we will eventually see this line dip below three given the current betting trends.

Since -1 to -2 is kind of no - man's land, I wouldn't be surprised if this line reaches -3 at some point given the current trend.

A game on the match line to avoid for me from a betting perspective but given those historical trends I will lean to the over.

The longer trends all auger for a democratic takeover down the line, but for now, a GOP governor and a still strong conservative base will combine with an AZ candidate to give the state (narrowly) to McCain.

If I were only allowed to keep three, I would have to choose my Hugo Boss Tuxedo (slightly oversized with a satin collar detail and the nearest I have come to Le Smoking thus far); the Skinny Fit Joseph Blazer (shiny black, shrunken fit, lightweight, good for any given day); my Emanuel Ungaro tweedy brocade (hip length, lined, warm, doubles as a coat in fall, looks like Chanel, brilliant with jeans, or with a slip dress); Vintage Armani (mannish, loose fit, hip length, two vintage moth holes, but if I keep my right arm down no one knows)... But oops that's four — but I have mulled this over on a number of occasions and my selection often differs, and that's why I can't give any of them up and in fact usually end up acquiring another one, and why I'm not opposed to adding to my collection either, so I'm looking at 3 current Blazer trends to play with and maybe I can retire a few to storage for a while.

This is in line with emerging trends we've seen in schools and districts, where coaches or peers give feedback to one another, yet don't often have a vehicle for doing so in way that captures look - fors and progress without being evaluative.

This is very much in line with current trends to combine different tests to measure value - added given statisticians and (particularly in the universe of VAMs) econometricians» «natural predilections» to find (and force) solutions to what they see as very rational and practical problems.

Hi Chip: Quick question on that trend line thing: Can you give me some examples of people who are trying to read a trend line out of Hugh's data?

Kindles (of the non-Fire variety) have always demonstrated a slight lag between user input and onscreen action and, given Amazon's emphasis on maintaining long battery life, that trend will likely continue until power management can be brought in line.

And given the current state of affairs, with this interest rate increasing trend, the home equity line of credit option doesn't seem the way to go.

Trended credit data is a two - year historical perspective on a consumer's utilization of credit accounts, giving lenders the ability to determine if a borrower tends to pay off revolving credit lines each month or if they tend to carry a balance month - to - month while making minimum or other payments.

But given that AEP's early 2018 downturn brought it just about to the level of the trend line connecting the 2015 and 2016 lows — which does a pretty good job of representing the stock's overall trend over the past four years — and the fact that it has bounced off the higher low it established in early March may make the stock interesting for traders, too.

Zooming out and looking at a daily or weekly line chart can give you a good idea of dominant trend direction.

However, as a general rule, support and resistance lines and trend lines are good starting points for analyzing technical setups and I wrote about one such setup last week with Chris Vermeulen giving us an example in this chart of what he saw headed into the week of the 14th (chart courtesy of The Gold and Oil Guy):

So that, your chart, once plotted, gives you a series of parallel ascending / descending trend / support and resistance lines that tend to be respected or repeatedly tested, then broken by price action?

This has unfortunately given birth to some trends that may be lining more corporate pockets, but which are ultimately ruining the industry for fans.

first, given all the talk on that «michael's graph» thread, i have to laugh at the fact that all those trend lines are drawn starting at 1998... [do we have any «proxy data» from which to infer attitudes going back to the little ice age?

and the combination, leaving all other factors aside, gives (nearly) a linear trend line.

Jorge Sarmiento and his group here at Princeton have discussed this paper and Jorge can give you more details on reservations that he has..., but one bottom line is that 9 years is obviously a very short time for detection of global warming trends.

Given the decadal averages and the issue of what is meant by «the next» decade, Romm does have a point that the result of the paper could more clearly be described as representing «a period of flat global mean temperatures extending somewhat into the coming decade, following by a very rapid rise in temperature leaving the planet on its long - term trend line by 2030.»

The difference is that I used all of their data, and have given the trend line since 1880.

(c) The global mean (80 ° N to 80 ° S) radiative signature of upper - tropospheric moistening is given by monthly time series of combinations of satellite brightness temperature anomalies (°C), relative to the period 1982 to 2004, with the dashed line showing the linear trend of the key brightness temperature in °C per decade.

If there happened to be a natural temperature cycle which was at a minimum in 1861 and near a maximum at present, then plotting out temperatures over this time period and drawing a straight line through them could give a misleading impression of the trend.

No, I'm not a fan of «trends» since they are usually simplistic and misleading but since they seem to dominate about 95 % of the discussion about climate I thought a more detailed analysis may help give some insight that the usual attempts to resume any dataset with on straight line fail to do.

An extrapolation of the trend line to year 2008 gives 5.30 million square kilometers.

In Gore's movie, he gives ample space between the C02 and Temperature trend line when graphing so as to hide the lagging effect.

Instead we have the Johnson et al. 1991 reference, given more or less in passing by Parker, being used evidently as primary bases for using these trends line differences as a proxy for an UHI effect.

And no drawing an OLS line from 1997 only gives you a trend since 1997.

Any thoughts on whether some kind of decomposition approach, like EMD, for finding a trend (the residual after decomposition) might give a better trend than the usual straight lines or moving averages?

Appending linear rises like this isn't a very useful thing to do; but I'm giving it here as another illustration that your intuitions about mathematics of trend lines are letting you both down.

I personally would bet on the trend for 2000 - 2020 to be a bit under 0.2, which is still in line with the given uncertainty levels.

Either stick to trend lines with some semblence of an above 50 % confidence interval on a timespan that itself covers at least a 95 % CI (this isn't so hard; it's only 17 years), or compare enough trend lines of the length you choose to establish a 95 % CI for the whole (for 5 years, you'll need about 60 years) and then apply Bayesian analysis to determine how likely it is you've found the pause you claim given the downward trends you see.

Linear regression determines the underlying trend in a dataset over a given period as the slope of the unique straight line through the data that minimizes the sum of the squares of the absolute differences or «residuals» between the data - points corresponding to each time interval in the data and on the trend - line.

First, was the simplistic application of statistics beyond an average in the form of a straight line trend analysis: Second, predictions were given awesome, but unjustified status, as the output of computer models.

But a noised - based approach using the Lasso method often quite similar to or even reduces to simple linear interpolation — and given largely linear trends over an especially brief amount of time a noised - based largely interpolating method will «do well» in a way that is quite irrelevant — where the «best method» would simply be to connect the dots by means of a straight line.

A running mean merely smooths, it doesn't give a trend line, unlike linear regression, meaning least - squares fit of a straight line.

This trend is shifting climate zones and isotherms (lines of a given average temperature) poleward, at a rate of about 50 - 60 kilometers

This analysis samples the ocean to 700 m depth and gives an average warming trend of 0.64 W m − 2 (red line).

Given the amount of variation in the trend lines I couldn't see an obvious reason to prefer using a trend line based on July rather than using the annual average trend.

I also wonder, given that trend lines for each month show so much variation, if is it sound to make trend lines based on monthly data?