Sentences with phrase «when averaging correlation»

Correlations were then transformed using Fisher's Z for all subsequent analyses, as recommended when averaging correlation coefficients (Silver and Dunlap 1987).

Not exact matches

According to WGC research, when real rates are between zero and 4 percent, gold's returns are positive and its volatility and correlation with other mainstream financial assets are below long - run averages.

In periods when the fed funds rate has been below 2 %, as has been the case since end of» 08, the average correlation has been roughly -0.33 -0.25.

Bond prices have tended to go up when stock prices have gone down and vice versa, displaying a negative correlation on average.

During this period, when the policy rate was above 2 %, the average correlation was close to zero.

In periods when the fed funds rate has been below 2 %, as has been the case since late» 08, the average correlation has been roughly -0.25.

These correlations were negative, suggesting that when average fire weather seasons are longer - than - normal or when long seasons impacted more global burnable area, net global terrestrial carbon uptake is reduced.

While levels of RNA and protein are strongly correlated when averaged over large numbers of cells, the authors discovered that this correlation breaks down at the level of single cells, with protein information more stably representing cell identity.

When they calculate the simple correlation between income and math achievement, Helen Ladd's approach, they find that a $ 4,000 increment (a 50 percent increase in the $ 8,000 average income reported by the families in this study) in the income of the poor family will lift student achievement by 20 percent of a standard deviation (close to a year's worth of learning in the middle years of schooling), a substantial impact that seems to support the Broader, Bolder claims.

What this means in practice is that when correlations are this «weak,» it is reasonable to say statements about averages, for example, that «on average» as one variable increases the mean of the other variable increases, but it would not be prudent or wise to make predictions for individuals based on these data.

In periods when the fed funds rate has been below 2 %, as has been the case since end of» 08, the average correlation has been roughly -0.33 -0.25.

During this period, when the policy rate was above 2 %, the average correlation was zero.

In periods when the fed funds rate has been below 2 %, as has been the case since late» 08, the average correlation has been roughly -0.25.

During this period, when the policy rate was above 2 %, the average correlation was close to zero.

One interesting method to use is the average of the correlation of each stock's RSI when RSI < some oversold threshold to the equal weight or index RSI when it is < the same threshold.

By 2013, the Fed started to taper and the correlation fell back to zero, and stayed below its average of 0.26 until Aug., 2015, precisely when VIX backwardation appeared.

Bond prices have tended to go up when stock prices have gone down and vice versa, displaying a negative correlation on average.

When we select based on the correlation of a fund's value - add over the market with factor returns, we observe that the mutual funds with high correlations to the market and to the momentum factor are the worst performers in the list with average underperformance of − 0.4 % and − 2.1 % a year, respectively (− 0.4 % and − 1.4 % a year, respectively, for the second measure).

I was somewhat surprised by the strong correlation between CET and global or NH MST when calculated from 10 y averages (the same for GMST and NHMST), but now I realized that the reason was fully in the dominance of AGW in that calculation.

A scientist would never focus on ONLY one variable, CO2, probably a very minor variable with no correlation with average temperature, when there are dozens of variables affecting Earth's climate... and then further focus only on manmade CO2, for political reasons (only that 3 % of all atmospheric CO2 can be blamed on humans... which is the goal of climate modelers... along with getting more government grants.)

The stronger correlation of both the UI and PDO with δ13C and δ18O when averaged over the entire year, rather than only April to September, suggest that there is continuous shell growth and that conditions over the entire year are recorded in the shell.

Hunter, All that you say may be true but the combined effect of all of these factors is so small that, as is shown, an excellent correlation with the measured average global temperatures is obtained when they are ignored and the only factors considered are time - integral of sunspots and a temperature oscillation (the oscillation is probably from ocean turnover).

The annual 1957 - 2006 temperature anomaly trend averaged over the 63 AWS stations is positive, but is not statistically different than zero for a p equal to or less than 0.05 when the trend regression data is adjusted for lag 1 auto correlation.

In general, the regionally averaged correlation coefficients only satisfy the rcritical when separated into land or ocean subdomains.

For low cloud cover, only the solar proxies, GCR proxies, the AMO, PDO, and ENSO exhibit significant correlation coefficients, and no correlation variable satisfies the rcritical for cloud cover when averaged over the entire domain.

At an annual level this correlation is about 0.4, but when average values over 10 - year periods are compared this correlation rises to about 0.75.»

As previously noted, when considering large - scale averages the Kriging process described here is largely insensitive to the details of the correlation function, so it is expected that small changes in the correlation structure with location or orientation can be safely ignored.

In the surface data, e.g., this is the long range correlations in annual averages, that would make some 60 stations globally enough for getting a good global average, when we have thousands of them.

Question from a novice: how is this spacial noise — or poor spatial correlation — taken into account when estimating the uncertainty on the average temperature?

When I correlated same month data across the enitre common period I got an average correlation across the 12 months of r =.882.

A negative correlation means that one variable is less likely to be below the average of that variable when the other variable is below its average.

Also interesting is that Mart found there may not be a correlation between the overall number of results brought back and relevancy as «the average relevance of the top ten results stays fairly consistent even when the number of results increases.»

The average across all real estate agents was a $ 4,060 decrease in home prices for every dollar of increased gas prices, but when inexperienced agents with 4 years of experience or less were involved, the correlation rose to $ 6,600 in lower home prices per dollar.