8- Conduct residual analysis for the best fitted model. Comment on the normality assumption and constant error variances .Comment this 4 graph LayoutRererencesMailingsReviewViewHelpTell me what you want to doCalibri (Body)-A A三,,11Aa -T 21 TAaBbCcDc AaBbCcDc AABBC AaBlPainterBIU- abe x, x*A - a A而,T NormalT No Spac... Heading 1HeacFontParagraphStylesIncome Residual Plot2010001500-20y = -0.0155x + 8.6249-40IncomeFamily Size(X) Residual PlotHitit:2012-20y = -1.9696x + 9.7991-40Family SizeResidualsResiduals Calibri (Body)11- A AAa -AaBbCcDc AaBbCcDc AaBbC AaBbCcC AB IU abc X, xA A-T NormalT No Spac. Heading 1Heading 2FontParagraphStylesHighest Degree ResidualPlot4020-208y = -5.2701x + 10.759Highest Degree-40Normal Probability Plot400y = 1.5735x + 32.55330020010020406080100120Sample PercentileEnglish (United States)Food Expenses (Y)Residuals

Residual analysis shows how well model is fitted to the data. Heteroskedasticity, normality of…

Answered: - Conduct residual analysis for the…

- Conduct residual analysis for the best fitted model. Comment on the normality assumption and constant error variances . Comment this 4 graph

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

8- Conduct residual analysis for the best fitted model. Comment on the normality assumption and constant error variances . Comment this 4 graph

Layout
Rererences
Mailings
Review
View
Help
Tell me what you want to do
Calibri (Body)
-A A
三,,
11
Aa -
T 21 T
AaBbCcDc AaBbCcDc AABBC AaBl
Painter
BIU- abe x, x*
A - a A
而,
T Normal
T No Spac... Heading 1
Heac
Font
Paragraph
Styles
Income Residual Plot
20
1000
1500
-20
y = -0.0155x + 8.6249
-40
Income
Family Size(X) Residual Plot
Hitit:
20
12
-20
y = -1.9696x + 9.7991
-40
Family Size
Residuals
Residuals

Calibri (Body)
11
- A A
Aa -
AaBbCcDc AaBbCcDc AaBbC AaBbCcC A
B I
U abc X, x
A A-
T Normal
T No Spac. Heading 1
Heading 2
Font
Paragraph
Styles
Highest Degree Residual
Plot
40
20
-20
8
y = -5.2701x + 10.759
Highest Degree
-40
Normal Probability Plot
400
y = 1.5735x + 32.553
300
200
100
20
40
60
80
100
120
Sample Percentile
English (United States)
Food Expenses (Y)
Residuals

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