Answer:
HOLA BB COM O ESTAS DIME QUE TE AYUDO BB
Explanation:
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 answer is <span>Bernardino Ramazzini.
</span><span>Bernardino Ramazzini was an italizan Physician that gained his fame in the 1600s.
He noticed that Repetitive movement that being done by Labor workers contributed greatly to the physical pain/muscle constraints that people experienced in the old age.</span>
Typically, federal capital sentencing process in the post-furman era involves four critical steps which include:
STEP 1: Sentencing
STEP 2: Direct Review
STEP 3: State Collateral Review
STEP 4: Federal Habeas Corpus
In many instances, the constitutionality of the death penalty has been challenged. Most of these constitutional challenges have included issues of race discrimination in the application of the death penalty.
Therefore, the process has not resolved the issue of racial disparities in death penalty sentencing on the federal level.
