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(Data file: Minn Land) Another variable in this data file is the region, a factor with six levels that are geographic identifiers. Assuming both year and region are factors, consider the two mean...

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(Data file: Minn Land) Another variable in this data file is the region, a factor with six levels that are geographic identifiers.

Assuming both year and region are factors, consider the two mean functions given in Wilkinson–Rogers notation as:

(a) log(acre Price) ∼  year +  region

(b) log(acre Price) ∼ year + region + year: region Explain the difference between these two models (no fitting is required for this problem).

 

Answered 129 days After May 23, 2022

Solution

Aditi answered on Sep 30 2022
57 Votes
SOLUTION
As can be seen, the most noticeable distinction that stands out right away is the presence of the year: region pairing. The model in question is refe
ed to as a main effects model in the aforementioned textbook. Because the impact of the continuous regressor is the same regardless of the level of the component, model
(a) is a lot easier to understand than models that take into account interaction. The interaction model is represented by the
(b) model, on the other hand. The signal for an interaction is the colon ":" in a sentence. The multiplicative interaction is represented by the additional regressor.
In conclusion, we can quickly...
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