Sentence examples for perfect inverse from inspiring English sources

By this measure, a reading of plus 1 is a perfect correlation between the two markets and a minus 1 is a perfect inverse correlation.

When statisticians measure correlations, a "1" is a perfect correlation between two trends, while a "minus 1" is a perfect inverse correlation.

"There's a perfect inverse relationship" between core inflation and stock market valuations, said Liz Ann Sonders, chief investment strategist at Charles Schwab.

He found a new visual register (a nearly perfect inverse of the world he had once documented) — a China of subtle grays and pale chemical yellows, and sweeping, battered landscapes.

Researchers use what they call a correlation coefficient, a number that ranges from "+1," meaning that the two assets have perfect, or complete, correlation, to "-1," meaning that they have perfect inverse correlation.

[Correction: This paragraph initially stated that an r-squared of 100% means complete correlation, a score of -100% is perfect inverse correlation, and a score of 0% means no link either way. That is true of the correlation coefficient. The r-squared term is the square of the correlation coefficient.] My own data crunching gives 63%; I think it takes academic data from different years.

For example, in our recomputation of the Pyron et al. model using regional absences, two of the top three explanatory axes - constancy of temperature (Isothermality) and seasonal inconstancy of temperature (Temperature Seasonality) – were nearly perfect inverses (r = −0.964).

The chart line is a near-perfect inverse of the plunging cost of crude.

A comparison chart (Figure 1) shows an almost-perfect inverse correlation between the yen's performance (as represented by CurrencyShares Japanese Yen Trust ) and the S&P 500 Index (SPX).

Moreover, by a cascade of inverse perfect shuffle and left perfect shuffle, a multistage rearrangeable nonblocking omega network can be constructed.

(2) R M S E = (p 1 - p a ) 2 + … + (p n - a n ) 2 n (3) M A E = | (p 1 - p a ) + … + | (p n - a n ) | n The correlation coefficient (Equation 4) measures the statistical correlation between a and p. The values range from 1, for perfectly correlated results, to 0, when there is no correlation, and to -1, for an inverse perfect correlation.