23. Are the residuals normally distributed? a. Yesb. Noc. Cannot be determined due to insufficiency of data. Residual Plots for C1Normal Probability PlotVersus Fits9950902.5500.0-2.510-5.0-5.0-2.50.02.55.044464850ResidualFitted ValueHistogramVersus Order5.02.50.0-2.5-5.06 7 810ResidualObservation OrderPercentFrequencyResidualResidual2.

We have the following about the residuals

Answered: 23. Are the residuals normally…

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

23. Are the residuals normally distributed?

a. Yes

b. No

c. Cannot be determined due to insufficiency of data.

Residual Plots for C1
Normal Probability Plot
Versus Fits
99
50
90
2.5
50
0.0
-2.5
10
-5.0
-5.0
-2.5
0.0
2.5
5.0
44
46
48
50
Residual
Fitted Value
Histogram
Versus Order
5.0
2.5
0.0
-2.5
-5.0
6 7 8
10
Residual
Observation Order
Percent
Frequency
Residual
Residual
2.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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