multiple regression analysis: a) establishes a cause and effect relationship. b) does not produce measures of probable error. c) measures the change in one variable associated with the change in one other variable only. d) measures the change in one variable associated with the change in more than one other variable

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25-10-2022
Mathematics

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multiple regression analysis: a) establishes a cause and effect relationship. b) does not produce measures of probable error. c) measures the change in one variable associated with the change in one other variable only. d) measures the change in one variable associated with the change in more than one other variable

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Qwlizard Qwlizard · Answer 1 · 2022-11-03T12:02:31-04:00

The change in one variable related to the change in more than one other variable is measured using multiple regression analysis.

A statistical method known as multiple regression is used on datasets intended to show a link between a single response or dependent variable and a number of independent factors.

Even though linear regression is frequently employed, it can only be utilized with one independent variable and one dependent variable. Non-linear regression is not predicted by linear regression, which is also limited to the training dataset.

We employ multiple regression to account for the same restrictions. It focuses on removing one particular limitation, which is allowing for the analysis of multiple independent variables.

Visit the link below to learn more about linear regression:

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