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Students of statistics need to collect, analyze, interpret, present and organize a data. Thus a lot of things are there through which you will get the exact outcome of a problem. At the higher level, you have to concentrate in the topics a lot. But, many students get confused and they hunt the internet for some perfect support. So, it is very important for you to take care of your assignment solutions for achieving your target.

Are you confusing about the Covariates homework? If yes, then you don’t have to be panic as myhomeworkhelp.com is always ready to give you the cent percent assistance whenever you need. Come and take help of covariates Homework Help and acquire the best solutions according to your expectation.

What is covariate?

Covariate is the continuous variable, which is also a control variable, is used to observe rather than to manipulate. But, it is always there to affect the outcome of that particular experiment. It may consider as the direct interest or it can also be an interacting and confounding variable. This is the reason that a covariant depends on both independent and dependent variables.

If you get confused, then our covariates Homework Help services are always there to give an exact solution to your problems. For rectifying your problems, you can take our help any time according to your time.

Why students get confused about the term?

Covariates are those that don’t have any primary interest. These are also referred to as Nuisance variables. These variables are used in different ways in different situations. Moreover, in case of econometrics the covariant is termed as “control Variable”.

If you go through the different ways, then it would be completely clear that Covariates are not primary variables as they do not take action directly, but it affects the outcome. This also affects the relationship of dependent and independent variables.

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What are the different term related to Covariant?

The various terms are as follows-

  • Dependent Variable.
  • Independent Variable.
  • Regression Analysis.
  • Time-Varying Covariates.
  • Analysis of covariance.
  • Predictor Variable.
  • Control Variable.

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