Sentences with phrase «using simple correlations»

In fact, the observation that using simple correlations over time is unlikely to yield the true «causal» relationship is exactly what motivated us to follow a different methodological approach.

We use simple correlation coefficients to measure the strength of the relationship between fluid cognitive skills and test scores.

Not exact matches

Correlation analysis is mainly plain and simple to use.

The committee uses simple stats, but there tends to be at least a little correlation.

The problem, however, when looking at simple correlations between social media use and STDs is that they fail to control for many other socioeconomic variables that can be related to sexual behavior and an increased risk of contracting an STD.

It goes from simple plotting to describing correlation to using a «line of best fit».

The idea behind this measure is simple — when there is a strong correlation between currencies that can be used as the carry trade funding sources but are otherwise unrelated, traders are either opening or closing carry trade positions.

MM instead promote the use of a simple linear correlation coefficient («r «-RRB- in its place.

My only remaining skepticism had to do with the use of this simple correlation for predicting the future «to within a millikelvin»: namely, that the correlation ignored two real constraints on future atmospheric CO2 increase, from human emissions upon which the entire correlation is based.

A simple combination of these three parameters that is [Td] n +2 − -LRB-[Ta] n + [Td] n − 3) is used and its correlation with [E] n is computed for n = 10 — 21.

Both types of correlations are accurate enough and simple to use in engineering calculations.

«The correlation of changes in d13C with ENSO events and the comparison with a simple model of a series of cascades suggest that the changes in d13C in the atmosphere have little to do with the input of CO2 emissions from the continuous use of fossil fuels.»

For the record, in the case of this «divergence», after dropping that post 1960 portion, the comparison between the reconstruction and the temperature record was done using decadal «smoothing» (basically weighted moving averages) of both series correlated on an annual basis for the 80 year period 1880 to 1960 so that the reported correlation was extremely exaggerated and not interpretable as a simple correlation might be.

With a PC link, the data can be used for all sorts of projects, from simple averaging ones to looking at correlations between different measurements such as wind direction and temperature.

If the patterns of correlation in the temperature data can be described simply, then this can be as simple as using an «effective number of parameters» which is less than the number of observations.

After detrending the proportions using a simple regression on year, the ACF shows no correlations are significantly different from zero.

Pattern correlations have been used because they are simple and are insensitive to errors in the amplitude of the spatial pattern of response and, if centred, to the global mean response.

There has actually not been a rise in direct correlation with simple marijuana use and car crashes.