estimates After examining these data for all the jurisdictions, someone notes that certain areas have an unusually high "percent of population 25 years and over with no high school diploma." Based on this finding, this individual concludes that the high percentages are due to the rising population of immigrants in those areas. Further, the individual argues that any of the associated "percent of people in poverty" in those areas should be recalculated after removing this sub-population from the data set, as they are causing the area to "look bad". In addition to thinking critically, use the key rules about linear regression and extrapolation appropriate response that also takes into account ethics and social responsibility. (This response paragraph in length.) to write a statistically should be at least a

MATLAB: An Introduction with Applications
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5.
assignment.
After examining these data for all the jurisdictions, someone notes that certain areas have an unusually high "percent of
population 25 years and over with no high school diploma." Based on this finding, this individual concludes that the high
percentages are due to the rising population of immigrants in those areas. Further, the individual argues that any estimates
of the associated "percent of people in poverty" in those areas should be recalculated after removing this sub-population
from the data set, as they are causing the area to "look bad".
In addition to thinking critically, use the key rules about linear regression and extrapolation to write a statistically
appropriate response that also takes into account ethics and social responsibility. (This response should be at least a
paragraph in length.)
Rev 11/14/2022
Transcribed Image Text:5. assignment. After examining these data for all the jurisdictions, someone notes that certain areas have an unusually high "percent of population 25 years and over with no high school diploma." Based on this finding, this individual concludes that the high percentages are due to the rising population of immigrants in those areas. Further, the individual argues that any estimates of the associated "percent of people in poverty" in those areas should be recalculated after removing this sub-population from the data set, as they are causing the area to "look bad". In addition to thinking critically, use the key rules about linear regression and extrapolation to write a statistically appropriate response that also takes into account ethics and social responsibility. (This response should be at least a paragraph in length.) Rev 11/14/2022
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