If you look at
the line graph above, you can see that right around midnight, the Cubs percentage of tickets (the blue line) and money (the green line) began to fall and their line reacted accordingly.
The line graph above, which is available to Sportsbook Insider subscribers, shows how public betting has affected the total at Bookmaker.
Not exact matches
As indicated in the
graph, the percentage of stocks trading
above their 40 - day MAs is nearing the extreme 8 - 12 % level, which we have seen during two major selloffs since the beginning of 2010 (represented by the yellow horizontal
line).
In the
graph below, you can see that we may be in
line for more of the same, unless the market is wrong about oil futures, since the Budget 2013 WTI forecast again lies
above the futures price.
It would be interesting to see a
graph like
above but with
lines added for the other major refined prodcuts.
We will then wait a little for the price level to increase
above this point (support
line) as soon as the price drops below the support
line again; we would consequently enter a trade heading on the same course the
graph is heading once it drops below the support
line.
If you take a look at the
graph, you can see that the Titans money % (green
line) was sitting slightly
above 50 %, but jumped to about 60 % and caused that
line to drop from +3 to +2.5.
Apart from a handful of over-spenders (
above the 100 per cent
line [7]-RRB-, the
graph again demonstrates the difficulty of singling out individual high - spenders, though significant variation can be observed at lower levels of spending.
The
graph suggests that an investigation of MPs» travel expenses should focus on those highest
above the fitted
line.
It includes examples to work through on: Finding the radius from the equation of a circle (e.g. find radius of x ² + y ² = 16) Drawing a circle from its equation Finding the equation of a circle when drawn onto an axis Estimate solutions (from
graphing) where a circle crosses a straight
line It then has one - slide of questions which will allow pupils to practice the
above topics.
Add a lesson in
graphing to the exercise
above: Students can create a bar
graph or a
line chart to show the average temperatures throughout the season.
As I said
above, I don't anticipate that the eBook
graph line will spike again, as it did a few years ago, until we see a truly unique, high - level enhancement hit the market.
While the company places at # 7 in terms of outstanding debt (as seen in the
graph above), it performs significantly better when measured by both active accounts and total
lines of credit issued.
The
line in the
graph above represents the average dispersion for the calendar year in question; the bars represent the interquartile range (i.e. the 25th percentile minus the 75th percentile) of large cap core equity managers in our year - end SPIVA survey.
The dividend and price correlated F.A.S.T.
Graph ™ on HCP below clearly illustrates the importance of REIT dividend distributions to stock price valuation.When the monthly closing stock price
line (black
line) fell below the dividend justified valuation, HCP was clearly on sale.When the price is
above the monthly closing stock price
line, like it is today, overvaluation indicates a dangerous time to invest.
If you look at the
above graph and compare the blue
line (the cost of life insurance on a yearly basis) with the white
line (permanent insurance, premiums level for life), you'll see that in the early years, the whole life premiums far exceed the actual cost of insurance — the company is taking in premiums far higher than they need.
To access index levels on our website, proceed to the individual index page, click on the desired time frame located
above the
line graph, then click on the EXPORT button on the far right along the time period row.
So if you look at the red
line in my
graph above, you will note that it has dipped below 2.0 five times in the last 66 years, in 1954, 1959, 1964, 1995 and 2014.
Many of the biggest up days in the stock market happen after a long - term bottom is achieved as the blue
line for the S&P 500 shows in the
above graph.
The green
line «forecast» for the period 1995 - 2000 in the
graph above is well below actual observations for the same period.
In the
graph you cite, after 1999 there are seven years appreciably
above the
line and five below (and three more or less on the
line).
i can «see» (i'm visual...) how on both
graphs about half the blue
lines (temp) fall
above and below the pink
line (linear fit and filtered error)-- like that pink
line WOULD represent a good «averaging out» or «noise reduction» in the data.
If you look at more recent data since 2010, say this Colorado
graph, you will see the blue wiggles start mainly below the linear trend
line and by 2006 have become
above the trend
line.
As to your paper and
graphs, your explanation
above greatly assisted; I certainly recommend a formal post by you with a preface along these
lines to assist me and my peers in the audience.
(Although it is in agreement with one of the
lines on the
above graph — Lefohn et al (1999).
The
graph below shows the same data as the
graph above but shaded to show what range of possible actual temperatures the
graphed line represents.
The thick green
line in the
graph above shows the accumulated (total number of) spotless days so far during the transit from solar cycle 24 to 25.
That's shown in the
graph (
above right), in which the green
line traces the declining proportion of atmospheric C13.
Holgate's 2014 work with Shaw uses techniques that are similar to those used by Kemp, including in his North Carolina study, which is the green
line on the
above graph from Kopp 2016.
As seen in the
graph above from Gillett 2008, IPCC model simulations based solely on known natural factors (the blue
line labeled NAT), erroneously reported no change in 20th century Arctic temperatures.
The original Usoskin
graph did not have the green
line or green filled areas, but suggested Grand Minima only occurred under the blue
line, the area
above the red
line is considered grand maxima by Usoskin.
As you can see in the
graph above, they show 2010 with much more area
above the 1998
line than below.
2) The global mean temperature (GMT) has never exceeded its upper boundary
line for long for the last 160 years as shown in the
above graph.
Note the
graph linked
above has the phases labelled «PDO phases» because that is what they appeared to map to when I did the
graph in late 2009, but their
line segments are derived purely from the phases in the temperatures and not from any PDO data.
This is reflected in the
graphs Monckton publishes
above, where the AR5 trend
line is the average over all of these models and in spite of the number of contributors the variance of the models is huge.
Everything on the two
graphs above is compressed into that little uptick at the end of the blue part of the
line.
If the growth rate of CO2 was linear (as you suggest), the
line in the
above graph would be closer to horizontal.
We'll also compute the standard deviation of the residuals from our linear regression so we can add two
lines to the
graph, one of which is two standard deviations
above our forecast, the other two standard deviations below, in order to delineate the range in which we would expect most of the future data to be.
Here again, any of these
lines can be removed by unchecking the box
above the
graph; if you want to see activity only for Republicans, uncheck the other boxes.
If you look at the
above graph and compare the blue
line (the cost of life insurance on a yearly basis) with the white
line (permanent insurance, premiums level for life), you'll see that in the early years, the whole life premiums far exceed the actual cost of insurance — the company is taking in premiums far higher than they need.
You'll see a
graph with a
line above it on the following screen; Drag this
line up or down to change the warning threshold.
You have options
above the data that let you toggle the time frame of the
graph, the physical display of the
lines, the appearance of different trend
lines, etc..