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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The economy of the South Sudan depends heavily on...
C ) oil.
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- Marlon Nunez
Answer:
According to the latest notification issued by the ICSE / ISC Board, the decision to reduce the syllabus will be applicable for Class 9 to Class 12 students and has been taken to reduce the burden amid limited teaching via online classes
Answer: This behaviour is an example of DEINDIVIDUATION.
Explanation: Deindividuation is a loosening of self-restraint when anonymous in a large crowd.
This behaviour makes an individual see himself as a crowd instead of an entity. This makes the individual do whatever the large crowd is involved in.