Crossword Solver > found answer > UNCORRE

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uncorre

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The answer UNCORRE has 0 possible clue(s) in existing crosswords.

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The word UNCORRE is NOT valid in any word game. (Sorry, you cannot play UNCORRE in Scrabble, Words With Friends etc)

There are 7 letters in UNCORRE ( C3E1N1O1R1U1 )

To search all scrabble anagrams of UNCORRE, to go: UNCORRE?

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Scrabble results that can be created with an extra letter added to UNCORRE

CONJURER TROUNCER

6 letters out of UNCORRE

CORNER

5 letters out of UNCORRE

CORER CORNU CRONE CRORE CRUOR CURER OUNCE RECON RECUR RERUN ROUEN

4 letters out of UNCORRE

CERO CONE CORE CORN CURE CURN CURR ECRU EURO ONCE ROUE RUER RUNE UNCO

3 letters out of UNCORRE

CON COR CRU CUE CUR ECU EON ERN ERR NOR ONE ORC ORE OUR REC ROC ROE RUE RUN URN

2 letters out of UNCORRE

EN ER NE NO NU OE ON OR RE UN

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Definitions of uncorre in various dictionaries:

UNCORRE - In probability theory and statistics, two real-valued random variables, X,Y, are said to be uncorrelated if their covariance, E(XY) − E(X)E(Y), is ...

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Uncorre might refer to
In probability theory and statistics, two real-valued random variables, X,Y, are said to be uncorrelated if their covariance, E(XY) − E(X)E(Y), is zero. A set of two or more random variables is called uncorrelated if each pair of them are uncorrelated. If two variables are uncorrelated, there is no linear relationship between them.
* Uncorrelated random variables have a Pearson correlation coefficient of zero, except in the trivial case when either variable has zero variance (is a constant). In this case the correlation is undefined.
* In general, uncorrelatedness is not the same as orthogonality, except in the special case where at least one of the two random variables has an expected value of 0. In this case, the covariance is the expectation of the product, and X and Y are uncorrelated if and only if E(XY) = 0.
* If X and Y are independent, with finite second moments, then they are uncorrelated. However, not all uncorrelated variables are independent. For example, if X is a continuous random variable uniformly distributed on [−1, 1] and Y = X2, then X and Y are uncorrelated even though X determines Y and a particular value of Y can be produced by only one or two values of X.
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