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
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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 |
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