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What do you understand by Linear regression – The model?
In statistics the linear regression is represented with the help of a model. The models are representation of data where a function known as linear predictor is very important. Some parameters which are unknown can be determined from this model. The expert says that how to represent the various requirement of the context through the models. Hence, the variables and its change in value also affect the model and its expected lines. A model is represented with the help of the formula Y= a+bX where X and Y are explanatory and dependent variables respectively.
It is very well known fact that statistics require a perfect way of representation. The analysis related to time series is also very much important for this. Experts say that graphical representation is a two dimensional way. A model can be taken as multiple linear or single linear.
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