Which of the following are assumptions when fitting a least squares line in linear regression? (Select all that apply) Question 5 options: Linearity: The data should show a linear trend Nearly normal residuals: generally the residuals must be nearly normal Constant variability: Variability of points around the least squares line must remain roughly constant Symmetry: Lines of best fit should fit symmetrically along the median value
Which of the following are assumptions when fitting a least squares line in linear regression? (Select all that apply) Question 5 options: Linearity: The data should show a linear trend Nearly normal residuals: generally the residuals must be nearly normal Constant variability: Variability of points around the least squares line must remain roughly constant Symmetry: Lines of best fit should fit symmetrically along the median value
Chapter3: Polynomial Functions
Section3.5: Mathematical Modeling And Variation
Problem 2ECP
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Question
Which of the following are assumptions when fitting a least squares line in linear regression? (Select all that apply)
Question 5 options:
|
Linearity: The data should show a linear trend |
|
Nearly normal residuals: generally the residuals must be nearly normal |
|
Constant variability: Variability of points around the least squares line must remain roughly constant |
|
Symmetry: Lines of best fit should fit symmetrically along the median value |
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