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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Answer: It is a complicated situation, would try to alert her of all the rich that it is illegal, all the possibilities of diseases that the child could have. I could not help but support her but it would be necessary to say that in ethical terms she is very wrong. I would advise you to adopt a child because there are so many children who need love, why spend so much and take so many risks when you have thousands of children who just want to be loved?
Learning occurs when information moved from B. short-term memory to long-term memory.
Answer:brainliest answer if this helps
a
Explanation:
commutative property of addition
