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The variable y is directly proportional to the variable x with proportionality constant ~0.6. The variable y is inversely proportional to the variable x with proportionality constant 1. In mathematics, two sequences of numbers, often experimental data, are proportional or directly proportional if their corresponding elements have a constant ratio.
Negative correlation can be seen geometrically when two normalized random vectors are viewed as points on a sphere, and the correlation between them is the cosine of the circular arc of separation of the points on a great circle of the sphere. [1] When this arc is more than a quarter-circle (θ > π/2), then the cosine is negative.
Two quantities can be directly proportional even if they don't vary by a constant multiple. For example, Newton's law of universal gravitation states that every particle in the universe attracts every other massive particle with a force that is directly proportional to the product of their masses and inversely proportional to the square of the ...
For many paramagnetic materials, the magnetization of the material is directly proportional to an applied magnetic field, for sufficiently high temperatures and small fields. However, if the material is heated, this proportionality is reduced. For a fixed value of the field, the magnetic susceptibility is inversely proportional to temperature ...
Several sets of (x, y) points, with the Pearson correlation coefficient of x and y for each set.The correlation reflects the noisiness and direction of a linear relationship (top row), but not the slope of that relationship (middle), nor many aspects of nonlinear relationships (bottom).
In social choice, the negative response, [1] [2] perversity, [3] or additional support paradox [4] is a pathological behavior of some voting rules where a candidate loses as a result of having too much support (or wins because of increased opposition).
Here's how to diversify your portfolio without the headache of being a landlord “I sure hope you won’t let your adult kid freeload,” she wrote. “That’s not generous to you or to them.”
The negative predictive value is defined as: = + = where a "true negative" is the event that the test makes a negative prediction, and the subject has a negative result under the gold standard, and a "false negative" is the event that the test makes a negative prediction, and the subject has a positive result under the gold standard.