This **crossword clue** is for the definition: *Confident.*

it’s A 9 letters **crossword puzzle definition**.

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## Possible Answers: **SURE**.

Last seen on: LA Times Crossword 24 Feb 19, Sunday

### Random information on the term “Confident”:

Acceptance in human psychology is a person’s assent to the reality of a situation, recognizing a process or condition (often a negative or uncomfortable situation) without attempting to change it or protest it. The concept is close in meaning to acquiescence, derived from the Latin acquiÄ“scere (to find rest in).[1]

The term acceptance is a noun with various different meanings.[2] When the person to whom a proposal is made signifies their assent, it is an “acceptance” of their offer, also called an agreement. For example, if someone gives a gift and another receives it, then they have accepted the gift; therefore, having acceptance. Another definition of acceptance has to do with positive welcome and belonging, favor, and endorsement. For instance, one can like someone and accept them due to their approval of that person. Another description is that acceptance can be an act of believing or assenting. The definition overlaps with toleration, but acceptance and tolerance are not synonyms.

### Random information on the term “SURE”:

In econometrics, the seemingly unrelated regressions (SUR)[1]:306[2]:279[3]:332 or seemingly unrelated regression equations (SURE)[4][5]:2 model, proposed by Arnold Zellner in (1962), is a generalization of a linear regression model that consists of several regression equations, each having its own dependent variable and potentially different sets of exogenous explanatory variables. Each equation is a valid linear regression on its own and can be estimated separately, which is why the system is called seemingly unrelated,[3]:332 although some authors suggest that the term seemingly related would be more appropriate,[1]:306 since the error terms are assumed to be correlated across the equations.

The model can be estimated equation-by-equation using standard ordinary least squares (OLS). Such estimates are consistent, however generally not as efficient as the SUR method, which amounts to feasible generalized least squares with a specific form of the variance-covariance matrix. Two important cases when SUR is in fact equivalent to OLS are when the error terms are in fact uncorrelated between the equations (so that they are truly unrelated) and when each equation contains exactly the same set of regressors on the right-hand-side.