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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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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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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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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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