This time we are looking on the crossword clue for: ''You bet!''.
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Possible Answers: YES, SURE, ANDHOW.
Random information on the term “YES”:
YES Prep Public Schools, Inc. is a network of public, open-enrollment charter schools located all throughout Greater Houston. The YES network has its headquarters in the Southwest Management District (formerly Greater Sharpstown), Houston. The YES program is a university-preparatory program for grades 9-12.
YES (which stands for Youth Engaged in Service) began in 1995 as Project YES. The program was founded at Rusk Elementary School in the Houston Independent School District. Since 1998, YES Prep has been operating under a state charter.
As of 2017, Yes Prep has opened seventeen schools located around Houston: Bray Oaks founded in 2009, East End (2006), Eisenhower (2016), Fifth Ward (2011), Gulfton (2007), Hoffman (2013), North Central (2003), North Forest (2010), Northbrook (2012), Northbrook High (2015), Northline(2017), Northside (2011), Southeast (1998), Southside (2015), Southwest (2004), West (2009), and White Oak (2013).
YES Prep’s focus is to help low-income students go to College. They offer “Spring Trip” which is an opportunity for students to go visit Colleges outside of Houston and around the country as a group. These are actually very helpful since it shows students that they can go to College out of state and it helps students see what kind of community the College has. They also give students reflection packages about what they liked about the school, events, etc. They also provide students with time to fill out the package and turn it in at the end of the trip.
Random information on the term “SURE”:
In econometrics, the seemingly unrelated regressions (SUR):306:279:332 or seemingly unrelated regression equations (SURE):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,:332 although some authors suggest that the term seemingly related would be more appropriate,: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.