boxplot then clustered with factor importance and factor and sth then draft analysis then boxplot...
TRANSCRIPT
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8/12/2019 Boxplot Then Clustered With Factor Importance and Factor and Sth Then Draft Analysis Then Boxplot Then Crosstab
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Factor Importance * home town * Factor Crosstabulation
Count
Factor
home town
Totalscotland UK non- UK
Accommodation Factor Importance .00
.05
.08
.14
.14
.20
Total
Destination Factor Importance .00
.20
.29
.31
.33
.57
.57
.67
Total
Duration Factor Importance .00
.25
.29
.29
.33
.53
.57
.62
.67
Total
Price Factor Importance . 00
.07
.08
.29
.31
.33
Total
Total Factor Importance . 00
.05
.07
.08
.08
.14
.14
.20
.25
1 4 0 5
0 0 1 1
1 1 4 6
1 0 0 1
3 2 1 6
0 0 1 1
6 7 7 2 0
0 2 1 3
0 0 1 1
0 0 1 11 0 3 4
1 0 1 2
3 2 0 5
1 0 0 1
0 3 0 3
6 7 7 2 0
0 1 0 1
0 1 0 1
1 0 0 1
3 1 0 4
0 2 0 2
0 0 1 10 0 1 1
1 1 5 7
1 1 0 2
6 7 7 2 0
6 3 5 1 4
0 0 1 1
0 1 0 1
0 1 0 1
0 1 1 2
0 1 0 1
6 7 7 2 0
7 10 6 2 3
0 0 1 1
0 0 1 1
1 1 4 6
0 1 0 1
1 0 0 1
3 2 1 6
0 0 2 2
0 1 0 1
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8/12/2019 Boxplot Then Clustered With Factor Importance and Factor and Sth Then Draft Analysis Then Boxplot Then Crosstab
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Factor Importance * home town * Factor Crosstabulation
Count
Factor
home town
Totalscotland UK non- UK
.29
.29
.31
.33
.53
.57
.57
.62
.67
Total
1 0 0 1
3 2 1 6
1 1 4 6
1 3 1 5
0 0 1 1
3 2 1 6
1 0 0 1
1 1 5 7
1 4 0 5
2 4 28 28 8 0
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8/12/2019 Boxplot Then Clustered With Factor Importance and Factor and Sth Then Draft Analysis Then Boxplot Then Crosstab
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Factor Importance * Gender * Factor Crosstabulation
Count
Factor
Gender
TotalFemale Male
Accommodation Factor Importance .00
.05
.08
.14
.14
.20
Total
Destination Factor Importance .00
.20
.29
.31
.33
.57
.57
.67
Total
Duration Factor Importance .00
.25
.29
.29
.33
.53
.57
.62
.67
Total
Price Factor Importance . 00
.07
.08
.29
.31
.33
Total
Total Factor Importance . 00
.05
.07
.08
.08
.14
.14
.20
.25
3 2 5
0 1 1
3 3 6
1 0 1
4 2 6
0 1 1
1 1 9 20
0 3 3
0 1 1
1 0 13 1 4
1 1 2
3 2 5
1 0 1
2 1 3
1 1 9 20
1 0 1
1 0 1
1 0 1
2 2 4
1 1 2
0 1 11 0 1
3 4 7
1 1 2
1 1 9 20
9 5 14
0 1 1
1 0 1
1 0 1
0 2 2
0 1 1
1 1 9 20
1 3 10 23
0 1 1
0 1 1
3 3 6
1 0 1
1 0 1
4 2 6
0 2 2
1 0 1
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8/12/2019 Boxplot Then Clustered With Factor Importance and Factor and Sth Then Draft Analysis Then Boxplot Then Crosstab
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Factor Importance * Gender * Factor Crosstabulation
Count
Factor
Gender
TotalFemale Male
.29
.29
.31
.33
.53
.57
.57
.62
.67
Total
1 0 1
4 2 6
3 3 6
2 3 5
0 1 1
4 2 6
1 0 1
3 4 7
3 2 5
4 4 36 80
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8/12/2019 Boxplot Then Clustered With Factor Importance and Factor and Sth Then Draft Analysis Then Boxplot Then Crosstab
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Factor Importance * Occupation * Factor Crosstabulation
Count
Factor
Occupation
Totalworking non-working
Accommodation Factor Importance .00
.05
.08
.14
.14
.20
Total
Destination Factor Importance .00
.20
.29
.31
.33
.57
.57
.67
Total
Duration Factor Importance .00
.25
.29
.29
.33
.53
.57
.62
.67
Total
Price Factor Importance . 00
.07
.08
.29
.31
.33
Total
Total Factor Importance . 00
.05
.07
.08
.08
.14
.14
.20
.25
4 1 5
0 1 1
5 1 6
1 0 1
4 2 6
0 1 1
1 4 6 20
3 0 3
0 1 1
0 1 13 1 4
0 2 2
4 1 5
1 0 1
3 0 3
1 4 6 20
1 0 1
1 0 1
1 0 1
3 1 4
2 0 2
0 1 10 1 1
5 2 7
1 1 2
1 4 6 20
9 5 1 4
0 1 1
1 0 1
1 0 1
2 0 2
1 0 1
1 4 6 20
1 7 6 23
0 1 1
0 1 1
5 1 6
1 0 1
1 0 1
4 2 6
0 2 2
1 0 1
Page 1
3. Does everyone agree with this? By Cross tab ( sex, home and occupation) ,
All groups agree with the highest factor Important -destination and duration.All groups ranked price as the least factor.
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Factor Importance * Occupation * Factor Crosstabulation
Count
Factor
Occupation
Totalworking non-working
.29
.29
.31
.33
.53
.57
.57
.62
.67
Total
1 0 1
4 2 6
5 1 6
3 2 5
0 1 1
4 2 6
1 0 1
5 2 7
4 1 5
5 6 2 4 8 0
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