Is problematic for classical statistical tests that assume independently distributed errors.

Social Studies

1 answer:

goldenfox [79]1 year ago

8 0

Regression is problematic for classical statistical tests that assume independently distributed errors.

Regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model can indicate whether an observed change in the dependent variable is associated with changes in one or more of the explanatory variables.

Regression comes from "regress", which comes from the Latin word "regresses" – (to return to something). In this sense, regression is a technique that allows us to move from chaotic and difficult-to-interpret data to a clearer and more meaningful model.

Regression analysis predicts a continuous dependent variable from a set of variables. Used when the independent variable. If your dependent variable is dichotomous, you should use logistic regression.

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Ninian Smart's seven dimensions and Catherine Albanese's Four C's of a Religious System are examples of a perennialist approach to the definition of religion.

<h3>What is religion?</h3>

This is the term that is used to refer to the belief in the existence of a deity that is called God. It is the belief that the world was created by a supernatural being and as humans on earth we are subjects to this being.

Hence we can say that Ninian Smart's seven dimensions and Catherine Albanese's Four C's of a Religious System are examples of a perennialist approach to the definition of religion.