Extra Credit: Consider the following dataset: *4789 20 12222 24 10 25 Compare a linear regression that minimizes the sum of squared errors with a linear regression that minimizes the mean absolute deviation, assuming the intercept for both regressions is 16.12.
Extra Credit: Consider the following dataset: *4789 20 12222 24 10 25 Compare a linear regression that minimizes the sum of squared errors with a linear regression that minimizes the mean absolute deviation, assuming the intercept for both regressions is 16.12.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter4: Polynomial And Rational Functions
Section4.6: Variation
Problem 37E
Question
![Extra Credit:
Consider the following dataset:
*4789
20
12222
24
10
25
Compare a linear regression that minimizes the sum of squared errors with a linear regression that minimizes
the mean absolute deviation, assuming the intercept for both regressions is 16.12.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8cc07b53-8c83-47cd-bdaf-352f98c0fa34%2F015e3f46-020e-49c0-9ad6-2b661c2ce17b%2F27fydp_processed.png&w=3840&q=75)
Transcribed Image Text:Extra Credit:
Consider the following dataset:
*4789
20
12222
24
10
25
Compare a linear regression that minimizes the sum of squared errors with a linear regression that minimizes
the mean absolute deviation, assuming the intercept for both regressions is 16.12.
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