Question

9. Explain the following: :

a) Least Squares Method

c) Manifold Tabulation

b) Rank correlatic
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Answer 1

Answer:

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Explanation:

a.The least squares method is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve. Least squares regression is used to predict the behavior of dependent variables.

c.manifold tabulation is also called ststistics manifold. in simple words you can say that family of all normal distributions, which are parametrized by the expected value μ and the variance σ2 ≥ 0, with the Riemannian metric given by the Fisher information matrix, is a statistical manifold.

b.In statistics, a rank correlation is any of several statistics that measure an ordinal association—the relationship between rankings of different ordinal variables or different rankings of the same variable, where a "ranking" is the assignment of the ordering labels "first", "second", "third", etc. to different