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: Visualizing
Explanation: Data visualization is the data being presented in the form of charts, graphs etc to make the information understandable by the user for communication.It is presented in the visual form so that small or big data can be presented to read.It works by the detection, analyzation, outlining etc the information into certain groups.
Other options are incorrect because comprehending is grasping the significance of data, perceiving is used for the realization of information and interpreting is used explaining the meaning of information.Thus , the correct option is visualizing.
I believe the answer is: <span>Telling and giving understanding are two different things.
Mink is valuable, coon is not, even though both are fur.
Janie implies that telling would be taken by people simply as passing sentence and would most likely forget it in a short period of time.
Making people understand on the other hand would most likely change people's behavior to the better.</span>
It helped provide housing and job opportunities for the soilders coming home
Answer:
North africa
Explanation:
because North part is near the Atlantic Ocean
