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Exercise 8.12 introduces data on the average monthly temperature during the month babies rst try to crawl (about 6 months after birth) and the average rst crawling age for babies born in a given month. A scatterplot of these two variables reveals a potential outlying month when the average temperature is about 53F and average crawling age is about 28.5 weeks. Does this point have high leverage

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batolisis

Answer:

The point has a high leverage

Step-by-step explanation:

The point has a high leverage as it would act as an infinitesimal point that will have a very huge/drastic  impact on the fit of the model, and this impact can be seen in such ways as listed below :

  • Smaller coefficient of determination
  • Higher sum of squares error

removing this point will eliminate these drastic impact and make the correlation to be better.

From the information given about the outliner, the given point is not influential and therefore does not have high leverage.

What is an outliner?

An outlier refers to a data point whose response does not follow the general trend of the rest of the data.

A data point has high leverage if it has an extreme predictor x value. Here, x = 53 and, y = 28.5.

X is not an extreme point, the data point is not high leverage but an outlier. The data point doesn't follow the general trend of the rest of the data.

Hence the given point is not influential.

Learn more about outliner on:

https://brainly.com/question/3631910

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