Regression analysis is a statistical process for estimating the relationships among variables.

bergvolk0k 2022-10-17 Answered
Regression analysis is a statistical process for estimating the relationships among variables. Regression analysis is widely used for prediction and forecasting. So why is regression analysis also used as statistical test?
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Answers (2)

Audrey Russell
Answered 2022-10-18 Author has 16 answers
On my viewpoint, regression analysis is a mathematical tool which can be used in various circonstances and for various kind of problems. Of course, in many statistical problems a regression technic is currently used. But they are also problems involving regressions where nothing is randomly specified and where no statistics are needed. A mathematical tool on one hand and mathematical or physical problem on the other hand, are two different thinks.
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cousinhaui
Answered 2022-10-19 Author has 5 answers
Regression analysis is surely an important tool for prediction and forecasting, but it is also commonly used as a statistical test for many purposes, e.g. to investigate whether a given variable is associated with another one independently of confounders, or whether a given multivariable model significantly predicts a given variable, and so on. In all these applications, regression provides a number of parameters, including measures of the strength of these associations and corresponding p values. In this view, it is one of the most important statistical tests used in many fields of sciences.
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New questions

i'm seeking out thoughts for a 15-hour mathematical enrichment course in a chinese language high faculty. What (pretty) simple concern would you advocate as a subject for any such course?
historical past/issues:
My students are generally pretty good at math, but many of them have no longer been uncovered to rigorous or summary mathematical reasoning. an amazing topic would be one that could not be impossibly hard for students who have by no means written or study proofs in English.
i have taught this magnificence three times earlier than. (a part of the purpose that i'm posting that is that i have used up all my thoughts!) the primary semester I taught an introductory range theory elegance (which meandered its way toward a proof of quadratic reciprocity, though I think this become in the end too advanced/abstract for some of the students). the second one semester I taught fundamental graph idea and packages (with a focal point on planarity and coloring). The 1/3 semester I taught a class at the Rubik's dice.
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(Responses specifically welcome from folks who grew up in the percent -- any mathematical subjects you desire were protected within the excessive college curriculum?)