As the male
curve on the graph indicates, the stereotype of the older man seeking an increasingly younger partner does in fact ring true.
Superimpose the old / new torque
curves on a graph, and it's foothills versus mountains.
In amongst the multimedia examples in the column was one from Teddy TV titled «Trend and variation» — purporting to teach the viewer the difference between trend («an average or general tendency of a series of data points to move in a certain direction over time, represented by a line or
curve on a graph») and variation («common cause variation is also known as «noise» or «natural patterns,»» the squiggles on a graph).
Not exact matches
All of these bubbles and crashes have one thing in common: If you tracked them
on a line
graph, the sharp price gains people made day after day
on the investment would form what's called a «parabolic
curve» — one of the most reliable warning signs that an investment may be overheating amid hype and euphoria.
Till now, climate modellers» forecasts of future warming have resembled the famous bell
curve, with the most likely result of doubling CO2 being a temperature increase of about 3 °C, and with declining probabilities
on either side for a narrow range of higher and lower temperature rises (see
Graph).
When he plotted nearly 30,000 incidents
on a
graph, they formed a
curve to the power of — 2.38.
On a
graph this produced a roughly symmetrical bell
curve with a central peak — hence the name.
When one simply looks at the Lauer
curve data transposed
on a normal linear
graph, as discussed, those data indicate that having a single R01 is about the least productive NIH funding situation, far less productive than 3 — 5 R01s.
By not plotting the
curves on the same
graph, the reader may easily get the wrong impression that the construction follows the observations fairly closely.
His work has focused
on foundational aspects of divisor theory for
graphs and tropical
curves, which is built
on chip - firing, which he describes as «a surprisingly simple game with connections to many different areas of mathematics and the sciences.»
Surprisingly, when they placed the real plants
on the
graph according to their actual nutrient travel distances and total branch lengths, the plants fell almost perfectly
on the Pareto
curve, meaning that plants» networks of branches are finding the best balance between cost and performance for their particular environment.
Each of these three hypotheses generate different so - called «mortality
curves» — a chart that results when mortality risk is plotted against age
on a
graph.
In engineering and other fields, tradeoffs such as this can be represented
on a
graph as a
curved line called the Pareto front.
This data is drawn
on a
graph and the area under the
curve measured, the larger the area, the higher the glycemic index (GI).
On the second
graph above, relating the legend to the
curves, it looks as though it's the ketones that are skyrocketing, not the FFAs.
The general idea is that the longer you put into learning something, the better you get — the «
curve» describes your rate of progress
on a
graph of learning vs. experience.
And the end of the green
curve, where the Kindle rank is 200,000 and the paper rank is 1,000,000, is an approximation, since the Kindle line should be approach asymptotic by the time it gets to 700,000, but I'd need another decade
on the
graph to show that.
Below is a
graph, based
on the Laffer
Curve, showing the relationship between the proportion of the market that follows index - type strategies and something I am calling «investor utility.»
When these points are connected
on a
graph, they exhibit a shape of a normal yield
curve.
As shown in the
graph, yield
curve usually shows annual interest rate
on the vertical axis and duration of investments in the horizontal axis.
Each of these three hypotheses generate different so - called «mortality
curves» — a chart that results when mortality risk is plotted against age
on a
graph.
In his abstract self - portraits, gold - coloured insulation foam,
curved and looped into symmetrical shapes based
on mathematical
graphs and charts, is combined with objects or motifs that suggest body parts and functions: a polythene bag holding liquid which looks like urine, a conch shell secreted in the inner space of a vulva - shaped cavity, and so
on.
Good place for an extended discussion
on deep learning topics since comments are not moderated and equation markup,
graphs, charts, and
CURVES TOO!
In the figure below, we have superimposed the standard CRU data set (blue
curve) of global mean temperature
on Veizers
graph.
Thus the sea ice volume will not fall straight to zero
on the PIOMAS
graph, but
curve round to the right.
Response to Willi @ 3: «[A] ren't all attempts to predict the future based merely
on lines
on graphs from the past what is called «
curve fitting»...?»
On a fourth
graph, the film - makers altered part of a
curve, thereby creating the impression that temperature has precisely tracked changes in sunspot cycles.
Any third - year science student will tell you that it flies in the face of physics and scientific logic that you CAN NOT use datasets from different sources in the same
curve on the same axis of a
graph!
Two weeks ago in this comment I addressed Greg Goodman's claim that my fit to the Keeling
curve was «totally unsuitable» based
on his
graph purporting to show a better fit (the yellow
curve).
At first I thought, based
on his
graph here, that he was plotting a (non-raised) exponential
curve.
If I go out and measure something, anything, and plot the points of a piece of
graph paper, and the points may lie
on a straight line, some sort of
curve, or there may be so much noise in the data that no trend is apparent, then this is what fits the data.
I think we can see that from the
graph, as those cyles better lined up with the angular momentum
curve are generally higher, unless there has been an angular momentum disturbance and also depending
on the amount of angular momentum?
On the same
graph, I have a shown a normal
curve, fit to the data.
This
graph displays the close connection between the global angular momentum of the atmosphere derived from wind analyses (darker red
curve, scale
on right) and the observed changes in the length of day (lighter green
curve, scale
on left), after removing low frequencies, for the years 2000/2001.
The blue line in the
graph below clearly shows sea level as rising, while the upward
curve suggests sea level is rising faster as time goes
on.
A
graph of their results shows that CCS - based strategies (highlighted here in red) tend to be amongst the most expensive opportunities (height
on the
curve below).
The
graph on the right shows those scenarios compared to the emissions
curves charted by the IMO's policies:
But your referenced
graph lacks labels for the horizontal axis, and what are the ks
on the
curves?
If we could plot a
graph with co2 volume
on the x axis and temperature
on the y axis then the relationship between c02 and temperature would by described by a
curve that eventually flattens out.
IntCal13 and priors produce a well - hammered - out collective
curve that shows every participating study
ON the
graph, with uncertainty bars, so the scientists can see exactly what studies went into the
curve at the radiocarbon age in question.
If we could plot a
graph with C02 volume
on the x axis and temperature
on the y axis then the relationship between C02 and temperature would by described by a
curve that eventually flattens out.
The forcing ability is exhausted by around 200 ppm but the IPCC's oversimplified forcing expression turns what should be a flattening
curve into a straight line rise
on a log - log
graph that they projected without scientific basis: -
My evidence is that you can plot the data from the CO2 Analysis Center
on a semi-log
graph scale and the
curve is concave down, especially in recent years.
The paper includes four
graphs (figure 2), each of which shows a
curve of rising funding level over time for a particular NIH research institute, and a
curve showing death rates from the diseases that each institute focuses
on.
If this effect is not taken into account while age detrending, and if the age detrending is based
on a monotonously decreasing
curve as in Romanm's
graphs above, then one would erroneously conclude that temperatures are elevated in the second half of the 20th century.
(Of course, your
graph is somewhat compressed, so we know
curve smoothing aside, the global temperature did
on occasion in this Domain drop below that mark, however we can consider these outliers for the moment.)
The Fasullo post at Climate Dialogue,
on sensitivity and TCR includes a
graph showing pentadal average ocean heat content, with a reference to a and b
curves.
(Note, by the way, that what is true for a radiating object is that the amount of radiation emitted AT ANY PARTICULAR WAVELENGTH is an increasing function of the temperature, a fact that is not always obvious because people often tend to normalize the emission
curves when showing emission
curves for different temperatures
on the same
graph.)
p.s. Beck appeared
on German TV last Monday, after the «Swindle» film was shown, and he is announced to appear
on the program «Report München» in the first channel of public German TV next Monday (18 June), to educate the viewers about another of his fantasy
graphs, namely his CO2
curve.
The «hide the decline»
graph splices together the modern temperature record and a proxy temperature
curve based very largely
on tree ring data.