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:
Structural Functionalism
Explanation:
Based on the information provided within the question it can be said that the study is an example of Structural Functionalism. In the context of sociology, this term refers to a theory made in order to explain why society functions in the way that it does, by emphasizing relationships between social institutions and society. Therefore a study attempting to find out why society likes a certain story as opposed to another one would be an example of this theory.
Answer:
C
Explanation:
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Answer:
In this chapter, you will learn about the first pillar of information literacy. While the pillars are normally presented in a certain order, it is important to remember that they are not intended to be a step-by-step guide to be followed in a strict order. In most research projects, you will find that you move back and forth between the different pillars as you discover more information and come up with more questions about your topic.
