Sentence examples for because the correlation between from inspiring English sources

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Nonetheless, this increase does not compensate sufficiently for the lower amount of milk consumed per meal because the correlation between the milk intake per meal and per day are positively correlated (ρ=0.55).

For instance, Lapage et al. 12 has shown that correlated models of sequence evolution perform better than independent-rate models because the correlation between branches enhances the possibility that the information will be carried from ancestral to descendent branches.

That is because the correlation between individual stocks' gyrations has fallen -- in other words, more stocks are rising sharply at the same time that other stocks plunge.

The problem for Dairy Queen is not so much the economy as it is the jobless rate, he added, because "the correlation between total employment and restaurant visitation is extremely high".

We also looked at the change in the total wage bill, because the correlation between wages and league position has been shown to be strongly positive in the long term at around 90%. Liverpool has been here before.

Measures of personal income are popular in the forecast models of elections produced by political scientists and economists — in part because they potentially do a good job of measuring the economy as it is experienced by voters, and in part because the correlation between personal income and election outcomes has been reasonably high in the past.

Because the correlation between sensor nodes may generate several burst data streams at the same time.

(Bensoussan and Ramraz 1984) refrained from substituting one test with another simply because the correlation between them was moderate.

The window size b2 varies depending on the level of decomposition because the correlation between coefficients varies in successive scales.

Equation 1 is possible to establish because the correlation between electron and hole positions, induced by the Coulomb interaction, is not enough strong.

This is because the correlation between the fixed effects a i and the explanatory variables x it will cause biases in the estimated coefficients.

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