N Number of Cases Mean CustomerBehaviour Age Univariate Statistics Gender 0 Age 375 Races 0 Income 0 Marital 0 a. Number of cases outside the range (Q1 - 1.5*1QR, Q3 +1.5*IQR). .00 Std. Deviation 1.00 2.00 4.00 5.00 Gender ProductQuality .000 Tabulated Patterns a. Lilliefors Significance Correction Races Count Missing Patterns" Missing 375 0 375 375 375 Statistic .522 .381 Income 0 375 X X X Patterns with less than 1% cases (4 or fewer) are not displayed. a. Variables are sorted on missing patterns. b. Number of mplete cases if variables missing in that pattern (marked with X) are not used. Percent 100.0 .0 100.0 100.0 100.0 Tests of Normality Kolmogorov-Smirnovª df 25 200 95 55 X Marital Sig. No. of Extremes Low High <.001 <.001 0 0 0 0 0 Complete if... Statistic .387 .627 0 375 0 0 0 0 0 Shapiro-Wilk df 25 200 95 55 Sig. <.001 <.001

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

1. Explain each table.

N
Number of Cases
Mean
Age
CustomerBehaviour
Univariate Statistics
Gender
0
Age
375
Races
0
Income
0
Marital
0
a. Number of cases outside the range (Q1 - 1.5*1QR, Q3 +1.5*IQR).
.00
Std. Deviation
1.00
2.00
4.00
5.00
Gender
.000
Tabulated Patterns
ProductQuality
a. Lilliefors Significance Correction
Races
Missing
Count
0
375
X
Patterns with less than 1% cases (4 or fewer) are not displayed.
a. Variables are sorted on missing patterns.
Missing Patterns a
375
0
375
375
375
Statistic
.522
.381
Income
b. Number of complete cases if variables missing in that pattern (marked with X) are
not used.
Percent
100.0
.0
100.0
100.0
100.0
Tests of Normality
Kolmogorov-Smirnova
df
25
200
95
55
Marital
Sig.
No. of Extremes*
Low
High
<.001
<.001
0
0
0
0
0
Complete if...b
Statistic
.387
.627
0
375
0
0
0
0
0
Shapiro-Wilk
df
25
200
95
55
Sig.
<.001
<.001
Transcribed Image Text:N Number of Cases Mean Age CustomerBehaviour Univariate Statistics Gender 0 Age 375 Races 0 Income 0 Marital 0 a. Number of cases outside the range (Q1 - 1.5*1QR, Q3 +1.5*IQR). .00 Std. Deviation 1.00 2.00 4.00 5.00 Gender .000 Tabulated Patterns ProductQuality a. Lilliefors Significance Correction Races Missing Count 0 375 X Patterns with less than 1% cases (4 or fewer) are not displayed. a. Variables are sorted on missing patterns. Missing Patterns a 375 0 375 375 375 Statistic .522 .381 Income b. Number of complete cases if variables missing in that pattern (marked with X) are not used. Percent 100.0 .0 100.0 100.0 100.0 Tests of Normality Kolmogorov-Smirnova df 25 200 95 55 Marital Sig. No. of Extremes* Low High <.001 <.001 0 0 0 0 0 Complete if...b Statistic .387 .627 0 375 0 0 0 0 0 Shapiro-Wilk df 25 200 95 55 Sig. <.001 <.001
CustomerBehaviour
CustomerBehaviour
ProductPrice
a. Lilliefors Significance Correction
1.00
2.00
4.00
5.00
Model
1
ProductPromotion
1.00
2.00
4.00
5.00
a. Lilliefors Significance Correction
Coefficients
ProductQuality
ProductPrice
ProductPromotion
Tests of Normality
Kolmogorov-Smirnov
df
Statistic
.513
.426
.436
.388
Model Dimension Eigenvalue
1
3.728
.170
.057
.044
.360
.325
.327
a. Dependent Variable: CustomerBehaviour
Statistic
Tests of Normality
Collinearity Statistics
Tolerance
VIF
.445
.499
.331
1
2
3
4
a. Dependent Variable: CustomerBehaviour
Kolmogorov-Smirnovª
df
2.775
3.082
3.062
Condition
Index
135
135
80
25
Sig.
1.000
4.678
8.058
9.218
160
110
80
25
<.001
<.001
<.001
<.001
Collinearity Diagnostics
(Constant)
.01
.64
.01
.34
Sig.
Statistic
<.001
<.001
<.001
.423
.665
.583
.625
Statistic
.626
.469
.741
Shapiro-Wilk
df
ProductQualit
y
.00
.00
.00
.99
135
135
80
25
Variance Proportions
Shapiro-Wilk
df
160
110
80
25
ProductPrice
Sig.
.01
.06
.74
.20
<.001
<.001
<.001
<.001
Sig.
<.001
<.001
<.001
ProductProm
otion
.01
.11
.75
.14
Transcribed Image Text:CustomerBehaviour CustomerBehaviour ProductPrice a. Lilliefors Significance Correction 1.00 2.00 4.00 5.00 Model 1 ProductPromotion 1.00 2.00 4.00 5.00 a. Lilliefors Significance Correction Coefficients ProductQuality ProductPrice ProductPromotion Tests of Normality Kolmogorov-Smirnov df Statistic .513 .426 .436 .388 Model Dimension Eigenvalue 1 3.728 .170 .057 .044 .360 .325 .327 a. Dependent Variable: CustomerBehaviour Statistic Tests of Normality Collinearity Statistics Tolerance VIF .445 .499 .331 1 2 3 4 a. Dependent Variable: CustomerBehaviour Kolmogorov-Smirnovª df 2.775 3.082 3.062 Condition Index 135 135 80 25 Sig. 1.000 4.678 8.058 9.218 160 110 80 25 <.001 <.001 <.001 <.001 Collinearity Diagnostics (Constant) .01 .64 .01 .34 Sig. Statistic <.001 <.001 <.001 .423 .665 .583 .625 Statistic .626 .469 .741 Shapiro-Wilk df ProductQualit y .00 .00 .00 .99 135 135 80 25 Variance Proportions Shapiro-Wilk df 160 110 80 25 ProductPrice Sig. .01 .06 .74 .20 <.001 <.001 <.001 <.001 Sig. <.001 <.001 <.001 ProductProm otion .01 .11 .75 .14
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