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loristic

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

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

There are 8 letters in LORISTIC ( C3I1L1O1R1S1T1 )

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

Rearrange the letters in LORISTIC and see some winning combinations

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

COISTRILSELICITORS FLORISTIC SOLICITOR

8 letters out of LORISTIC

CLITORIS COISTRIL

7 letters out of LORISTIC

COLITIS LICTORS SOLICIT SORITIC

6 letters out of LORISTIC

LICTOR TORICS TRIOLS

5 letters out of LORISTIC

CLOTS COILS COIRS COLTS CRITS LICIT LIROT LORIS LOTIC RIOTS ROILS ROTIS ROTLS STOIC TIRLS TIROS TOILS TORCS TORIC TORII TORSI TRIOL TRIOS TROIS

4 letters out of LORISTIC

CIST CLOT COIL COIR COLS COLT CORS COST COTS CRIS CRIT IRIS LIRI LIST LITS LOCI LOST LOTI LOTS OILS ORCS ORTS OTIC RIOT ROCS ROIL ROTI ROTL ROTS SCOT SILO SILT SLIT SLOT SOIL SOLI SORI SORT STIR TICS TILS TIRL TIRO TOIL TORC TORI TORS TRIO

3 letters out of LORISTIC

CIS COL COR COS COT ITS LIS LIT LOT OIL ORC ORS ORT ROC ROT SIC SIR SIT SOL SOT SRI TIC TIL TIS TOR

2 letters out of LORISTIC

IS IT LI LO OI OR OS SI SO TI TO

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Definitions of loristic in various dictionaries:

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Loristic might refer to
In statistics, the logistic model (or logit model) is a statistical model that is usually taken to apply to a binary dependent variable. In regression analysis, Logistic regression or logit regression is estimating the parameters of a logistic model. More formally, a logistic model is one where the log-odds of the probability of an event is a linear combination of independent or predictor variables. The two possible dependent variable values are often labelled as "0" and "1", which represent outcomes such as pass/fail, win/lose, alive/dead or healthy/sick. The binary logistic regression model can be generalized to more than two levels of the dependent variable: categorical outputs with more than two values are modelled by multinomial logistic regression, and if the multiple categories are ordered, by ordinal logistic regression, for example the proportional odds ordinal logistic model.Logistic regression was developed by statistician David Cox in 1958. The binary logistic model is us
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