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2. Cape Libraries Automated Materials Sharing - Wikipedia

   en.wikipedia.org/wiki/Cape_Libraries_Automated...

   The Cape Libraries Automated Materials Sharing (CLAMS) library network is a non-profit consortium of 35 member libraries and 38 locations throughout Cape Cod, Martha's Vineyard, and Nantucket. Since it was founded in 1988, [ 1 ] the number of items available has grown from 568,000 in 1991 to over 1.6 million in 2022. [ 2 ]

3. Regression analysis - Wikipedia

   en.wikipedia.org/wiki/Regression_analysis

   The assumption of a particular form for the relation between Y and X is another source of uncertainty. A properly conducted regression analysis will include an assessment of how well the assumed form is matched by the observed data, but it can only do so within the range of values of the independent variables actually available.

4. What Is Tax Form 941, and Who Needs to File It? - AOL

   www.aol.com/finance/tax-form-941-needs-file...

   You'll file Form 941 quarterly to report employee federal withholdings.

5. Least-angle regression - Wikipedia

   en.wikipedia.org/wiki/Least-angle_regression

   In statistics, least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani. [1] Suppose we expect a response variable to be determined by a linear combination of a subset of potential covariates.

6. Polynomial regression - Wikipedia

   en.wikipedia.org/wiki/Polynomial_regression

   In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as a polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y , denoted E( y | x ).

7. Regularized least squares - Wikipedia

   en.wikipedia.org/wiki/Regularized_least_squares

   Regularized least squares (RLS) is a family of methods for solving the least-squares problem while using regularization to further constrain the resulting solution.. RLS is used for two main reasons.