Decide if there are any outliers. Classify them as high-leverage or low-leverage and decide if you will keep them for your analysis or ignore them. Justify your choice. Estimate a regression line for...

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  1. Decide if there are any outliers. Classify them as high-leverage or low-leverage and decide if you will keep them for your analysis or ignore them. Justify your choice.




  2. Estimate a regression line for this data set. Estimate two points on this regression line and use them to construct an equation for this estimated line.




  3. Estimate the correlation and justify your guess.




  4. Describe what the slope and intercept mean in this context. Use units.




  5. Choose any one of the data points on the scatterplot and compute its residual. Describe what this quantity means.



Answered Same DayJun 09, 2021

Answer To: Decide if there are any outliers. Classify them as high-leverage or low-leverage and decide if you...

Sagnik answered on Jun 10 2021
141 Votes
Q1. Decide if there are any outliers. Classify them as high-leverage or low-leverage and decide if you will keep them for your analysis or ignore them. Justify your choice.
Ans- While the most of SAT verbal scores are located between 500 to 550, the figure suggests that a few scores are more than 600. These are outliers.
Since these outliers have x-axis value(SAT verbal in this case) substantially different from the rest, their relative position will highly affect the magnitude of our analysis and can drastically shift the regression line. Hence these are high leverage points.
We should keep them as deleting them gives a wrong impression that students scoring around...
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