Scale-Location 014 00 025 10 -10 -5 Fitted values Which statement, or statements, below is/are correct with regard to this output? O 1. There is strong evidence that the variance of the residuals is not constant and that their variance increases at larger fitted valu O 2. There is strong evidence that the variance of the residuals is not constant and that their variance decreases at larger fitted valu O 3. There is strong evidence that the distribution of the residuals is non-normal and skewed to the right (positive skew). O 4. There is strong evidence that the distribution of the residuals is non-normal and skewed to the left (negative skew). O 5. There is strong evidence of a non-linear, accelerating relationship between the response variable and the predictor variable. O 6. There is strong evidence of a non-linear, decelerating relationship between the response variable and the predictor variable. O 7. The diagnostic plots indicate that the normality, linearity and variance assumptions of the linear regression model are all satisfic ViStandardized residuals 0.0 0.4 0.8 1.2

Scale-Location 014 00 025 10 -10 -5 Fitted values Which statement, or statements, below is/are correct with regard to this output? O 1. There is strong evidence that the variance of the residuals is not constant and that their variance increases at larger fitted valu O 2. There is strong evidence that the variance of the residuals is not constant and that their variance decreases at larger fitted valu O 3. There is strong evidence that the distribution of the residuals is non-normal and skewed to the right (positive skew). O 4. There is strong evidence that the distribution of the residuals is non-normal and skewed to the left (negative skew). O 5. There is strong evidence of a non-linear, accelerating relationship between the response variable and the predictor variable. O 6. There is strong evidence of a non-linear, decelerating relationship between the response variable and the predictor variable. O 7. The diagnostic plots indicate that the normality, linearity and variance assumptions of the linear regression model are all satisfic ViStandardized residuals 0.0 0.4 0.8 1.2

Name: R2 Scale-Location0140002510-10-5Fitted valuesWhich statement, or state
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Description: R2 Scale-Location0140002510-10-5Fitted valuesWhich statement, or statements, below is/are correct with regard to this output?1. There is strong evidence that the variance of the residuals is not constant and that their variance increases at larger fi

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Scale-Location
014
00
025
10
-10
-5
Fitted values
Which statement, or statements, below is/are correct with regard to this output?
1. There is strong evidence that the variance of the residuals is not constant and that their variance increases at larger fitted values.
2. There is strong evidence that the variance of the residuals is not constant and that their variance decreases at larger fitted values.
3. There is strong evidence that the distribution of the residuals is non-normal and skewed to the right (positive skew).
4. There is strong evidence that the distribution of the residuals is non-normal and skewed to the left (negative skew).
5. There is strong evidence of a non-linear, accelerating relationship between the response variable and the predictor variable.
6. There is strong evidence of a non-linear, decelerating relationship between the response variable and the predictor variable.
7. The diagnostic plots indicate that the normality, linearity and variance assumptions of the linear regression model are all satisfied.
VIStandardized residuals
0'0
0.4
0.8
1.2

A linear regression was fitted in R (of the form Y = a + bX) and the following regression diagnostic plots were produced from the fitted model:
Residuals vs Fitted
Normal Q-Q
140
100
140
025
0,0 000
-10
-5
-2
-1
1
Fitted values
Theoretical Quantiles
Residuals
-3
-1
1 2 3
Standardized residuals
-1

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