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(1,3), (1,5), (2,2), (2,6)

x = 1 is mapped to y=3 and y=5 so the mapping is one-to-many and, therefore, not a function. Similarly x=2.

Q: Example of at least 4 ordered pairs that DOES NOT model a function?

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Basically, kalman filter is the most popular function for smoothing a static model. In order to get make time series model workable, an optimal smoother required to fit the model.

rate of change

A scientific model is a reprensentation of an object or system, and it can be conceptual, graphical, or mathematical.AN example would be something like the model of the water cycle.

No.No.No.No.

An equation can is an example of a mathematical model, for example; Newton's Model of the Gravitational Energy is E= -mGM/r = mu/r. Newton's Model has only Potential Energy. My modified Newton model is E = -mu/r + mcV = m[-u/r, cV] has Potential and Vector Energy and is a Quaternion Mathematical Model of Gravity. Most mathematical models in science are scalar number models or vec Save tor number models. The "real Cosmos" consists of Quaternions, the sum of a scalar and three vectors. Maxwell's Equations started out as Quaternions but physicists rejected the Quaternion mathematical model.

Related questions

(1, 10), (2, 20), (3, 30), (4, 40), (5, 30)

does the united states of america function more on a pluralistic model of power or does the united states function more on an elite model?

I have been searching and found no way to do it yet. At least not with a built in function.

give me example about this model give me example about this model

If ordered that way, yes

I need an example of a mathematical model of the word "beauty" useing a scale of 1 being the least likabe to 10 being the most likable

If ordered that way

Not unless it was special ordered or has a history

Marjon van der Pol has written: 'Using a conditioned iterative generalised least squares estimator (CIGLS) to model a multilevel cost function and a discount function applied to repeated observations'

Physical model.

what is an example of a small thing that a model can represent

Basically, kalman filter is the most popular function for smoothing a static model. In order to get make time series model workable, an optimal smoother required to fit the model.