statistics

Page 1

Explore

Notes

Output Created 20-SEP-2017 13:57:26

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.

Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.

Page 2

Notes

Syntax EXAMINE VARIABLES=BODYFAT AGE HEIGHT WEIGHT NECK CHEST ABDOMEN HIP THIGH BICEPS BMI WAISTHIPRATIO /PLOT NONE /PERCENTILES (5,10,25,50,75,90,95) HAVERAGE /STATISTICS DESCRIPTIVES EXTREME /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.00

Page 3

Case Processing Summary

N

Valid

Percent N

Cases

Missing

Percent N

Total

Percent

BODYFAT 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

AGE 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

HEIGHT 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

WEIGHT 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

NECK 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

CHEST 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

ABDOMEN 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

HIP 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

THIGH 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

BICEPS 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

BMI 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

WAISTHIPRATIO 2 5 2 100.0% 0 0.0% 2 5 2 100.0%

178.9244 1.85134 Page 4

Descriptives

Statistic Std. Error

BODYFAT Mean 18.938 . 4 8 8 3

95% Confidence Interval for Mean

Lower Bound 17.977

Upper Bound 19.900

5% Trimmed Mean 18.865

Median 19.000

Variance 60.076

Std. Deviation 7.7509

Minimum . 0

Maximum 4 5 . 1

Range 4 5 . 1

Interquartile Range 1 1 . 8

Skewness . 1 4 4 . 1 5 3

Kurtosis - . 3 0 7 . 3 0 6

AGE Mean 4 4 . 8 8 . 7 9 4

95% Confidence Interval for Mean

Lower Bound 4 3 . 3 2

Upper Bound 4 6 . 4 5

5% Trimmed Mean 4 4 . 5 9

Median 4 3 . 0 0

Variance 158.811

Std. Deviation 12.602

Minimum 2 2

Maximum 8 1

Range 5 9

Interquartile Range 1 9

Skewness . 2 8 4 . 1 5 3

Kurtosis - . 4 1 6 . 3 0 6

Page 5

Descriptives

37.992 . 1 5 3 1

Statistic Std. Error

HEIGHT Mean 178.9244 1.85134

95% Confidence Interval for Mean

Lower Bound 175.2783

Upper Bound 182.5706

5% Trimmed Mean 177.8604

Median 176.5000

Variance 863.723

Std. Deviation 29.38916

Minimum 118.50

Maximum 363.15

Range 244.65

Interquartile Range 3 8 . 5 0

Skewness 1 . 2 0 5 . 1 5 3

Kurtosis 5 . 2 7 0 . 3 0 6

WEIGHT Mean 70.1488 .23074

95% Confidence Interval for Mean

Lower Bound 69.6944

Upper Bound 70.6032

5% Trimmed Mean 70.2837

Median 70.0000

Variance 13.417

Std. Deviation 3.66286

Minimum 2 9 . 5 0

Maximum 7 7 . 7 5

Range 4 8 . 2 5

Interquartile Range 4 . 0 0

Skewness - 5 . 3 8 5 . 1 5 3

Kurtosis 59.544 . 3 0 6

Page 6

Descriptives

92.556 . 6 7 9 3

Statistic Std. Error

NECK Mean 37.992 . 1 5 3 1

95% Confidence Interval for Mean

Lower Bound 37.690

Upper Bound 38.294

5% Trimmed Mean 37.967

Median 38.000

Variance 5 . 9 0 9

Std. Deviation 2.4309

Minimum 3 1 . 1

Maximum 5 1 . 2

Range 2 0 . 1

Interquartile Range 3 . 1

Skewness . 5 5 3 . 1 5 3

Kurtosis 2 . 7 2 0 . 3 0 6

CHEST Mean 100.824 . 5 3 1 1

95% Confidence Interval for Mean

Lower Bound 99.778

Upper Bound 101.870

5% Trimmed Mean 100.484

Median 99.650

Variance 71.073

Std. Deviation 8.4305

Minimum 7 9 . 3

Maximum 1 3 6 . 2

Range 5 6 . 9

Interquartile Range 1 1 . 3

Skewness . 6 8 2 . 1 5 3

Kurtosis . 9 8 7 . 3 0 6

Page 7

Descriptives

59.406 . 3 3 0 7

Statistic Std. Error

ABDOMEN Mean 92.556 . 6 7 9 3

95% Confidence Interval for Mean

Lower Bound 91.218

Upper Bound 93.894

5% Trimmed Mean 92.130

Median 90.950

Variance 116.275

Std. Deviation 10.7831

Minimum 6 9 . 4

Maximum 1 4 8 . 1

Range 7 8 . 7

Interquartile Range 1 5 . 1

Skewness . 8 3 8 . 1 5 3

Kurtosis 2 . 2 4 9 . 3 0 6

HIP Mean 99.905 . 4 5 1 3

95% Confidence Interval for Mean

Lower Bound 99.016

Upper Bound 100.794

5% Trimmed Mean 99.585

Median 99.300

Variance 51.324

Std. Deviation 7.1641

Minimum 8 5 . 0

Maximum 1 4 7 . 7

Range 6 2 . 7

Interquartile Range 8 . 1

Skewness 1 . 4 9 7 . 1 5 3

Kurtosis 7 . 4 7 1 . 3 0 6

Descriptives

23.456 . 4 3 5 9 Page 8

Statistic Std. Error

THIGH Mean 59.406 . 3 3 0 7

95% Confidence Interval for Mean

Lower Bound 58.755

Upper Bound 60.057

5% Trimmed Mean 59.226

Median 59.000

Variance 27.562

Std. Deviation 5.2500

Minimum 4 7 . 2

Maximum 8 7 . 3

Range 4 0 . 1

Interquartile Range 6 . 5

Skewness . 8 2 1 . 1 5 3

Kurtosis 2 . 6 6 6 . 3 0 6

BICEPS Mean 32.273 . 1 9 0 3

95% Confidence Interval for Mean

Lower Bound 31.899

Upper Bound 32.648

5% Trimmed Mean 32.257

Median 32.050

Variance 9 . 1 2 8

Std. Deviation 3.0213

Minimum 2 4 . 8

Maximum 4 5 . 0

Range 2 0 . 2

Interquartile Range 4 . 2

Skewness . 2 8 6 . 1 5 3

Kurtosis . 4 9 8 . 3 0 6

Page 9

Descriptives

Statistic Std. Error

BMI Mean 23.456 . 4 3 5 9

95% Confidence Interval for Mean

Lower Bound 22.597

Upper Bound 24.314

5% Trimmed Mean 23.175

Median 23.085

Variance 47.877

Std. Deviation 6.9193

Minimum 5 . 5

Maximum 4 8 . 4

Range 4 3 . 0

Interquartile Range 9 . 2

Skewness . 5 8 7 . 1 5 3

Kurtosis . 5 5 9 . 3 0 6

WAISTHIPRATIO Mean . 9 2 4 5 .00372

95% Confidence Interval for Mean

Lower Bound . 9 1 7 2

Upper Bound . 9 3 1 9

5% Trimmed Mean . 9 2 3 5

Median . 9 2 0 2

Variance . 0 0 3

Std. Deviation .05905

Minimum . 7 9

Maximum 1 . 1 0

Range . 3 1

Interquartile Range . 0 8

Skewness . 2 2 8 . 1 5 3

Kurtosis - . 1 6 5 . 3 0 6

Percentiles

Page 10

Percentiles

5 1 0 2 5 5 0 7 5 9 0 9 5

Weighted Average (Definition 1)

BODYFAT 6 . 6 9 5 8 . 7 3 0 12.800 19.000 24.600 29.040 31.435

AGE 2 5 . 0 0 2 7 . 0 0 3 5 . 2 5 4 3 . 0 0 5 4 . 0 0 6 3 . 7 0 6 7 . 3 5

HEIGHT 136.0750 146.2250 158.5000 176.5000 197.0000 217.0000 227.1000

WEIGHT 65.7500 67.0000 68.2500 70.0000 72.2500 73.7500 74.5000

NECK 34.165 35.100 36.400 38.000 39.475 40.970 41.900

CHEST 88.765 90.890 94.250 99.650 105.525 112.370 117.175

ABDOMEN 76.565 79.430 84.525 90.950 99.575 105.910 111.305

HIP 89.065 91.800 95.500 99.300 103.575 108.800 112.540

THIGH 51.030 52.930 56.000 59.000 62.450 66.000 68.670

BICEPS 27.500 28.630 30.200 32.050 34.375 36.340 37.200

BMI 13.618 15.255 18.535 23.085 27.735 32.081 36.621

WAISTHIPRATIO . 8 3 1 6 . 8 4 7 0 . 8 8 6 0 . 9 2 0 2 . 9 6 3 4 1.0019 1.0309

Tukey's Hinges BODYFAT 12.800 19.000 24.600

AGE 3 5 . 5 0 4 3 . 0 0 5 4 . 0 0

HEIGHT 158.7500 176.5000 197.0000

WEIGHT 68.2500 70.0000 72.2500

NECK 36.400 38.000 39.450

CHEST 94.300 99.650 105.450

ABDOMEN 84.550 90.950 99.450

HIP 95.500 99.300 103.550

THIGH 56.000 59.000 62.400

BICEPS 30.200 32.050 34.350

BMI 18.540 23.085 27.730

WAISTHIPRATIO . 8 8 6 0 . 9 2 0 2 . 9 6 3 3

Page 11

Extreme Values

1 8 2 118.50

Case Number Value

BODYFAT Highest 1 2 1 6 4 5 . 1

2 3 6 3 8 . 2

3 1 9 2 3 6 . 5

4 1 6 9 3 4 . 7

5 3 9 3 3 . 8

Lowest 1 1 8 2 . 0

2 1 7 2 1 . 9

3 1 7 1 4 . 1

4 2 6 4 . 6

5 2 9 4 . 7

AGE Highest 1 7 9 8 1

2 2 5 2 7 4

3 8 5 7 2

4 8 7 7 2

5 2 4 9 7 2a

Lowest 1 3 2 2

2 2 2 2

3 1 4 5 2 3

4 1 4 4 2 3

5 1 0 2 3b

HEIGHT Highest 1 3 9 363.15

2 4 1 262.75

3 3 5 247.25

4 1 9 2 244.25

5 1 5 2 241.75

Extreme Values

HEIGHT

3 9 1 3 6 . 2 Page 12

Case Number Value

Lowest 1 1 8 2 118.50

2 7 4 125.00

3 4 5 125.25

4 1 7 2 125.75

5 2 2 6 126.50

WEIGHT Highest 1 9 6 7 7 . 7 5

2 1 4 5 7 7 . 5 0

3 1 2 7 6 . 0 0

4 1 9 2 7 6 . 0 0

5 1 0 9 7 5 . 5 0

Lowest 1 4 2 2 9 . 5 0

2 2 1 6 6 4 . 0 0

3 7 4 6 4 . 0 0

4 2 9 6 4 . 7 5

5 3 6 6 5 . 0 0

NECK Highest 1 3 9 5 1 . 2

2 1 6 8 4 3 . 9

3 4 1 4 3 . 2

4 1 8 0 4 2 . 8

5 2 2 2 4 2 . 5

Lowest 1 1 0 6 3 1 . 1

2 4 5 3 1 . 5

3 4 9 3 2 . 8

4 7 4 3 3 . 2

5 2 2 6 3 3 . 4

Page 13

Extreme Values

1 8 2 8 5 . 0

Case Number Value

CHEST Highest 1 3 9 1 3 6 . 2

2 4 1 1 2 8 . 3

3 2 0 5 1 2 1 . 6

4 2 2 2 1 1 9 . 9

5 2 1 6 1 1 9 . 8

Lowest 1 1 8 2 7 9 . 3

2 5 0 8 3 . 4

3 4 5 8 5 . 1

4 2 3 8 6 . 0

5 2 4 8 6 . 7

ABDOMEN Highest 1 3 9 1 4 8 . 1

2 4 1 1 2 6 . 2

3 2 1 6 1 2 2 . 1

4 2 4 2 1 1 8 . 0

5 1 6 9 1 1 5 . 9

Lowest 1 1 8 2 6 9 . 4

2 5 0 7 0 . 4

3 1 5 3 7 2 . 8

4 4 7 7 3 . 7

5 2 9 7 3 . 9

HIP Highest 1 3 9 1 4 7 . 7

2 4 1 1 2 5 . 6

3 3 5 1 1 6 . 1

4 4 2 1 1 5 . 5

5 1 5 2 1 1 4 . 4 c

Extreme Values

HIP

1 8 2 4 8 . 4 Page 14

Case Number Value

Lowest 1 1 8 2 8 5 . 0

2 2 7 8 5 . 3

3 5 0 8 7 . 2

4 2 2 6 8 7 . 5

5 2 4 1 8 7 . 6

THIGH Highest 1 3 9 8 7 . 3

2 1 6 9 7 4 . 4

3 1 5 2 7 2 . 9

4 4 1 7 2 . 5

5 3 5 7 1 . 2 d

Lowest 1 1 8 2 4 7 . 2

2 5 3 4 9 . 3

3 2 4 8 4 9 . 6

4 1 7 2 5 0 . 0

5 4 5 5 0 . 0

BICEPS Highest 1 3 9 4 5 . 0

2 1 8 0 3 9 . 1

3 5 4 3 8 . 5

4 1 5 2 3 8 . 5

5 2 2 2 3 8 . 4

Lowest 1 1 7 2 2 4 . 8

2 2 2 6 2 5 . 3

3 2 4 8 2 5 . 6

4 1 4 9 2 5 . 8

5 5 1 2 6 . 0

Extreme Values

Page 15

Case Number Value

BMI Highest 1 1 8 2 4 8 . 4

2 4 5 4 3 . 4

3 2 2 6 4 1 . 7

4 1 7 2 4 1 . 4

5 5 0 4 1 . 1

Lowest 1 3 9 5 . 5

2 4 2 7 . 0

3 4 1 1 0 . 0

4 3 5 1 2 . 0

5 1 7 8 1 2 . 3

WAISTHIPRATIO Highest 1 2 5 0 1 . 1 0

2 5 9 1 . 0 9

3 2 1 6 1 . 0 8

4 2 0 5 1 . 0 6

5 4 0 1 . 0 5

Lowest 1 1 9 9 . 7 9

2 2 5 . 8 0

3 1 5 3 . 8 0

4 5 0 . 8 1

5 2 3 . 8 1

a. Only a partial list of cases with the value 72 are shown in the table of upper extremes.

b. Only a partial list of cases with the value 23 are shown in the table of lower extremes.

c. Only a partial list of cases with the value 114.4 are shown in the table of upper extremes.

d. Only a partial list of cases with the value 71.2 are shown in the table of upper extremes.

Scatter Graph Matrix f o r variables i n analysis

Notes

Output Created 20-SEP-2017 14:22:12

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Syntax GRAPH /SCATTERPLOT (MATRIX)=BODYFAT HEIGHT WEIGHT NECK CHEST ABDOMEN HIP THIGH BICEPS BMI WAISTHIPRATIO AGE /MISSING=LISTWISE.

Resources Processor Time 00:00:00.39

Elapsed Time 00:00:00.00

Page 16

Page 17

A G

E

W A

IS T

H IP

R A

T IO

B M

I

B IC

E P

S

T H

IG H

H IP

A B

D O

M E

N

C H

E S

T

N E

C K

W E

IG H

T

H E

IG H

T

B O

D Y

F A

T

B M

I H

IP N

E C

K B

O D

Y F

A T

Correlations Pearson

Notes

Output Created 20-SEP-2017 14:22:44

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax CORRELATIONS /VARIABLES=BODYFAT HEIGHT WEIGHT NECK CHEST ABDOMEN HIP THIGH BICEPS BMI WAISTHIPRATIO AGE /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

Page 18

. 4 9 3 * *

. 0 0 0

2 5 2

. 8 0 0 * *

. 0 0 0

2 5 2

. 2 0 8 * *

. 0 0 1

2 5 2

. 7 3 1 * *

. 0 0 0

2 5 2

. 7 2 8 * *

. 0 0 0

2 5 2

. 6 8 5 * *

. 0 0 0

2 5 2

. 7 3 9 * *

. 0 0 0

2 5 2

. 7 6 1 * *

. 0 0 0

2 5 2

. 4 9 3 . 8 0 0 . 2 0 8 . 7 3 1 . 7 2 8 . 6 8 5 . 7 3 9 . 7 6 1 1 Page 19

Correlations

BODYFAT

HEIGHT

WEIGHT

NECK

CHEST

ABDOMEN

HIP

THIGH

Pearson Correlation

BODYFAT

1

HEIGHT

. 6 1 3 * * WEIGHT NECK

- . 0 8 9 . 4 9 1 * * CHEST

. 7 0 3 * * ABDOMEN

. 8 1 4 * * HIP

. 6 2 6 * * THIGH

. 5 6 1 * *

Sig. (2-tailed) . 0 0 0 . 1 5 8 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation . 6 1 3 * * 1 . 3 0 8 * * . 8 3 1 * * . 8 9 4 * * . 8 8 8 * * . 9 4 1 * * . 8 6 9 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation - . 0 8 9 . 3 0 8 * * 1 . 2 5 4 * * . 1 3 5 * . 0 8 8 . 1 7 0 * * . 1 4 8 *

Sig. (2-tailed) . 1 5 8 . 0 0 0 . 0 0 0 . 0 3 2 . 1 6 5 . 0 0 7 . 0 1 8

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation . 4 9 1 * * . 8 3 1 * * . 2 5 4 * * 1 . 7 8 5 * * . 7 5 4 * * . 7 3 5 * * . 6 9 6 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation . 7 0 3 * * . 8 9 4 * * . 1 3 5 * . 7 8 5 * * 1 . 9 1 6 * * . 8 2 9 * * . 7 3 0 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 3 2 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation . 8 1 4 * * . 8 8 8 * * . 0 8 8 . 7 5 4 * * . 9 1 6 * * 1 . 8 7 4 * * . 7 6 7 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 1 6 5 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation . 6 2 6 * * . 9 4 1 * * . 1 7 0 * * . 7 3 5 * * . 8 2 9 * * . 8 7 4 * * 1 . 8 9 6 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 7 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Pearson Correlation . 5 6 1 * * . 8 6 9 * * . 1 4 8 * . 6 9 6 * * . 7 3 0 * * . 7 6 7 * * . 8 9 6 * * 1

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 1 8 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 * * * * * * * * * * * * * * * *

1 - . 7 8 1 . 4 1 3 - . 0 4 1 Page 20

Correlations

WAISTHIPRATI

BODYFAT Pearson Correlation

BICEPS

. 4 9 3 * * BMI

- . 6 6 8 * * O

. 7 7 4 * * AGE

. 2 8 9 * *

. 0 0 0

2 5 2

- . 0 1 3

. 8 4 0

2 5 2

- . 1 7 2 * *

. 0 0 6

2 5 2

. 1 1 4

. 0 7 2

2 5 2

. 1 7 6 * *

. 0 0 5

2 5 2

. 2 3 0 * *

. 0 0 0

2 5 2

- . 0 5 0

. 4 2 6

2 5 2

- . 2 0 0 * *

. 0 0 1

2 5 2

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

HEIGHT Pearson Correlation . 8 0 0 * * - . 9 3 0 * * . 5 4 7 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

WEIGHT Pearson Correlation . 2 0 8 * * - . 2 0 4 * * - . 0 2 8

Sig. (2-tailed) . 0 0 1 . 0 0 1 . 6 5 7

N 2 5 2 2 5 2 2 5 2

NECK Pearson Correlation . 7 3 1 * * - . 7 8 5 * * . 5 4 1 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

CHEST Pearson Correlation . 7 2 8 * * - . 8 7 5 * * . 7 2 5 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

ABDOMEN Pearson Correlation . 6 8 5 * * - . 8 6 4 * * . 8 2 7 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

HIP Pearson Correlation . 7 3 9 * * - . 8 8 1 * * . 4 5 1 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

THIGH Pearson Correlation . 7 6 1 * * - . 8 4 4 * * . 3 8 1 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 * *

2 5 2 * *

Page 21

1

2 5 2

- . 7 8 1 * *

. 0 0 0

2 5 2

. 4 1 3 * *

. 0 0 0

2 5 2

- . 0 4 1

. 5 1 5

2 5 2

Correlations

BICEPS Pearson Correlation

BODYFAT

. 4 9 3 * * HEIGHT

. 8 0 0 * * WEIGHT

. 2 0 8 * * NECK

. 7 3 1 * * CHEST

. 7 2 8 * * ABDOMEN

. 6 8 5 * * HIP

. 7 3 9 * * THIGH

. 7 6 1 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 1 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

BMI Pearson Correlation - . 6 6 8 * * - . 9 3 0 * * - . 2 0 4 * * - . 7 8 5 * * - . 8 7 5 * * - . 8 6 4 * * - . 8 8 1 * * - . 8 4 4 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 1 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

WAISTHIPRATIO Pearson Correlation . 7 7 4 * * . 5 4 7 * * - . 0 2 8 . 5 4 1 * * . 7 2 5 * * . 8 2 7 * * . 4 5 1 * * . 3 8 1 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 6 5 7 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

AGE Pearson Correlation . 2 8 9 * * - . 0 1 3 - . 1 7 2 * * . 1 1 4 . 1 7 6 * * . 2 3 0 * * - . 0 5 0 - . 2 0 0 * *

Sig. (2-tailed) . 0 0 0 . 8 4 0 . 0 0 6 . 0 7 2 . 0 0 5 . 0 0 0 . 4 2 6 . 0 0 1

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Page 22

Correlations

WAISTHIPRATI

BICEPS Pearson Correlation

BICEPS

1

BMI

- . 7 8 1 * * O

. 4 1 3 * * AGE

- . 0 4 1

. 5 1 5

2 5 2

- . 0 2 3

. 7 1 5

2 5 2

. 4 7 9 * *

. 0 0 0

2 5 2

1

2 5 2

Sig. (2-tailed) . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

BMI Pearson Correlation - . 7 8 1 * * 1 - . 5 9 0 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

WAISTHIPRATIO Pearson Correlation . 4 1 3 * * - . 5 9 0 * * 1

Sig. (2-tailed) . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2

AGE Pearson Correlation - . 0 4 1 - . 0 2 3 . 4 7 9 * *

Sig. (2-tailed) . 5 1 5 . 7 1 5 . 0 0 0

N 2 5 2 2 5 2

* * . Correlation is significant at the 0.01 level (2-tailed).

2 5 2

* . Correlation is significant at the 0.05 level (2-tailed).

Nonparametric Correlations Spearman

Page 23

Notes

Output Created 20-SEP-2017 14:22:44

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax NONPAR CORR /VARIABLES=BODYFAT HEIGHT WEIGHT NECK CHEST ABDOMEN HIP THIGH BICEPS BMI WAISTHIPRATIO AGE /PRINT=SPEARMAN TWOTAIL NOSIG /MISSING=PAIRWISE.

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.00

Number of Cases Allowed 209715 cases a

a. Based on availability of workspace memory

Correlations

Spearman's rho BODYFAT Correlation Coefficient

BODYFAT HEIGHT

1 . 0 0 0 . 6 1 3 * * WEIGHT

- . 0 0 8

NECK

. 4 9 1 * * CHEST

. 6 7 3 * * ABDOMEN

. 8 1 5 * * HIP

. 6 1 2 * *

Sig. (2-tailed) . . 0 0 0 . 8 9 8 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

HEIGHT Correlation Coefficient . 6 1 3 * * 1 . 0 0 0 . 5 1 5 * * . 8 0 5 * * . 8 9 7 * * . 8 7 4 * * . 9 2 9 * *

Sig. (2-tailed) . 0 0 0 . . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

WEIGHT Correlation Coefficient - . 0 0 8 . 5 1 5 * * 1 . 0 0 0 . 3 2 1 * * . 2 5 8 * * . 2 1 9 * * . 4 2 1 * *

Sig. (2-tailed) . 8 9 8 . 0 0 0 . . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

NECK Correlation Coefficient . 4 9 1 * * . 8 0 5 * * . 3 2 1 * * 1 . 0 0 0 . 7 8 2 * * . 7 4 3 * * . 7 0 9 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

CHEST Correlation Coefficient . 6 7 3 * * . 8 9 7 * * . 2 5 8 * * . 7 8 2 * * 1 . 0 0 0 . 8 9 5 * * . 8 1 2 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

ABDOMEN Correlation Coefficient . 8 1 5 * * . 8 7 4 * * . 2 1 9 * * . 7 4 3 * * . 8 9 5 * * 1 . 0 0 0 . 8 4 5 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

HIP Correlation Coefficient . 6 1 2 * * . 9 2 9 * * . 4 2 1 * * . 7 0 9 * * . 8 1 2 * * . 8 4 5 * * 1 . 0 0 0

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 .

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

THIGH Correlation Coefficient . 5 4 4 * * . 8 3 7 * * . 3 3 3 * * . 6 4 9 * * . 7 2 0 * * . 7 3 4 * * . 8 7 8 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 * * * * * * * * * * * * * *

. 5 4 4 * *

. 0 0 0

2 5 2

. 8 3 7 * *

. 0 0 0

2 5 2

. 3 3 3 * *

. 0 0 0

2 5 2

. 6 4 9 * *

. 0 0 0

2 5 2

. 7 2 0 * *

. 0 0 0

2 5 2

. 7 3 4 * *

. 0 0 0

2 5 2

. 8 7 8 * *

. 0 0 0

2 5 2

1 . 0 0 0

.

2 5 2

. 4 9 3 . 7 8 2 . 3 0 2 . 6 9 5 . 7 4 0 . 6 7 3 . 7 3 6 . 7 3 6 * *

Page 24

. 7 3 6 1 . 0 0 0 - . 7 9 4 . 4 3 8 - . 0 4 4 Page 25

Correlations

Spearman's rho BODYFAT Correlation Coefficient

THIGH BICEPS

. 5 4 4 * * . 4 9 3 * * BMI

- . 6 5 4 * *

WAISTHIPRATI O

. 7 7 2 * * AGE

. 2 7 3 * *

. 0 0 0

2 5 2

- . 0 1 3

. 8 3 7

2 5 2

- . 2 3 0 * *

. 0 0 0

2 5 2

. 1 2 3

. 0 5 1

2 5 2

. 1 6 8 * *

. 0 0 8

2 5 2

. 2 2 1 * *

. 0 0 0

2 5 2

- . 0 7 2

. 2 5 5

2 5 2

- . 2 0 3 * *

. 0 0 1

2 5 2

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

HEIGHT Correlation Coefficient . 8 3 7 * * . 7 8 2 * * - . 9 9 3 * * . 5 7 7 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

WEIGHT Correlation Coefficient . 3 3 3 * * . 3 0 2 * * - . 4 2 0 * * - . 0 2 5

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 6 9 1

N 2 5 2 2 5 2 2 5 2 2 5 2

NECK Correlation Coefficient . 6 4 9 * * . 6 9 5 * * - . 8 1 1 * * . 5 7 0 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

CHEST Correlation Coefficient . 7 2 0 * * . 7 4 0 * * - . 9 2 0 * * . 7 2 2 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

ABDOMEN Correlation Coefficient . 7 3 4 * * . 6 7 3 * * - . 9 0 0 * * . 8 5 8 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

HIP Correlation Coefficient . 8 7 8 * * . 7 3 6 * * - . 9 3 1 * * . 4 7 6 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

THIGH Correlation Coefficient 1 . 0 0 0 . 7 3 6 * * - . 8 4 9 * * . 3 9 4 * *

Sig. (2-tailed) . . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 * *

2 5 2 2 5 2 * *

2 5 2 * *

Correlations

BICEPS

BMI

WAISTHIPRATIO

AGE

Correlation Coefficient

BODYFAT HEIGHT

. 4 9 3 * * . 7 8 2 * * WEIGHT

. 3 0 2 * * NECK

. 6 9 5 * * CHEST

. 7 4 0 * * ABDOMEN

. 6 7 3 * * HIP

. 7 3 6 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Correlation Coefficient - . 6 5 4 * * - . 9 9 3 * * - . 4 2 0 * * - . 8 1 1 * * - . 9 2 0 * * - . 9 0 0 * * - . 9 3 1 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Correlation Coefficient . 7 7 2 * * . 5 7 7 * * - . 0 2 5 . 5 7 0 * * . 7 2 2 * * . 8 5 8 * * . 4 7 6 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 6 9 1 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Correlation Coefficient . 2 7 3 * * - . 0 1 3 - . 2 3 0 * * . 1 2 3 . 1 6 8 * * . 2 2 1 * * - . 0 7 2

Sig. (2-tailed) . 0 0 0 . 8 3 7 . 0 0 0 . 0 5 1 . 0 0 8 . 0 0 0 . 2 5 5

N 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2 2 5 2

Spearman's rho

. 7 3 6 * *

. 0 0 0

2 5 2

- . 8 4 9 * *

. 0 0 0

2 5 2

. 3 9 4 * *

. 0 0 0

2 5 2

- . 2 0 3 * *

. 0 0 1

2 5 2

Page 26

Page 27

Spearman's rho

Correlations

BICEPS Correlation Coefficient

THIGH BICEPS

. 7 3 6 * * 1 . 0 0 0

BMI

- . 7 9 4 * *

WAISTHIPRATI O

. 4 3 8 * * AGE

- . 0 4 4

. 4 8 6

2 5 2

- . 0 1 4

. 8 2 9

2 5 2

. 4 5 3 * *

. 0 0 0

2 5 2

1 . 0 0 0

.

2 5 2

Sig. (2-tailed) . 0 0 0 . . 0 0 0 . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

BMI Correlation Coefficient - . 8 4 9 * * - . 7 9 4 * * 1 . 0 0 0 - . 6 1 5 * *

Sig. (2-tailed) . 0 0 0 . 0 0 0 . . 0 0 0

N 2 5 2 2 5 2 2 5 2 2 5 2

WAISTHIPRATIO Correlation Coefficient . 3 9 4 * * . 4 3 8 * * - . 6 1 5 * * 1 . 0 0 0

Sig. (2-tailed) . 0 0 0 . 0 0 0 . 0 0 0 .

N 2 5 2 2 5 2 2 5 2 2 5 2

AGE Correlation Coefficient - . 2 0 3 * * - . 0 4 4 - . 0 1 4 . 4 5 3 * *

Sig. (2-tailed) . 0 0 1 . 4 8 6 . 8 2 9 . 0 0 0

N

* * . Correlation is significant at the 0.01 level (2-tailed).

2 5 2 2 5 2 2 5 2 2 5 2

Regression WEIGHT O N BODYFAT

Notes

Output Created 20-SEP-2017 15:35:59

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BODYFAT /METHOD=ENTER WEIGHT.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.00

2848 bytes

Page 28

Page 29

Notes

Memory Required

Additional Memory Required for Residual Plots

2848 bytes

0 bytes

Resources

Variables Entered/Removed a

Variables Variables Model Entered Removed Method

1 WEIGHTb . Enter

a. Dependent Variable: BODYFAT

b. All requested variables entered.

Model Summary

Adjusted R Std. Error of Model R R Square Square the Estimate

1 . 0 8 9 a . 0 0 8 . 0 0 4 7.7354

a. Predictors: (Constant), WEIGHT

Page 30

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 119.727 1 119.727 2 . 0 0 1 . 1 5 8 b

Residual 14959.290 2 5 0 59.837

Total 15079.017 2 5 1

a. Dependent Variable: BODYFAT

b. Predictors: (Constant), WEIGHT

Coefficientsa

Unstandardized Coefficients Standardized

Coefficients 95.0% Confidence Interval for B

Model B Std. Error Beta t Sig. Lower Bound Upper Bound

1 (Constant) 32.165 9 . 3 6 3 3 . 4 3 5 . 0 0 1 13.724 50.607

WEIGHT - . 1 8 9 . 1 3 3 - . 0 8 9 - 1 . 4 1 5 . 1 5 8 - . 4 5 1 . 0 7 4

a. Dependent Variable: BODYFAT

REGRESSION PLOT OF WEIGHT O N BODYFAT

Page 31

Notes

Output Created 20-SEP-2017 15:36:33

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Notes

Syntax GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES= BODYFAT WEIGHT /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource (id("graphdataset") ) DATA: BODYFAT = col (source(s), name ("BODYFAT") ) GRAPH: begin(origin (15%, 10%), scale(75%, 75%)) DATA: WEIGHT = col (source(s), name ("WEIGHT") ) GUIDE: axis(dim(1), label("WEIGHT") ) GUIDE: axis(dim(2), label("BODYFAT") ) ELEMENT: point(position (WEIGHT * BODYFAT) ) ELEMENT: line(position (smooth.linear(WEIGHT * BODYFAT)), shape (shape.solid) ) GRAPH: end() GRAPH: begin(origin (15%, 0%), scale(75%, 8%)) GUIDE: axis(dim(1), ticks (null())) COORD: rect(dim(1)) ELEMENT: schema (position(bin.quantile. letter(WEIGHT)), size (size."80%")) GRAPH: end() GRAPH: begin(origin (92%, 10%), scale(8%, 75%)) COORD: transpose(rect (dim(1))) GUIDE: axis(dim(1), ticks (null())) ELEMENT: schema (position(bin.quantile. letter(BODYFAT)), size (size."80%")) GRAPH: end() END GPL.

00:00:00.34

Page 32

Page 33

Notes

Resources Processor Time 00:00:00.34

Elapsed Time 00:00:01.00

WEIGHT

8 0 . 0 07 0 . 0 06 0 . 0 05 0 . 0 04 0 . 0 03 0 . 0 02 0 . 0 0

B O

D Y

F A

T

5 0 . 0

4 0 . 0

3 0 . 0

2 0 . 0

1 0 . 0

. 0

Regression Abdomen on bodyfat

Notes

Output Created 20-SEP-2017 16:05:35

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BODYFAT /METHOD=ENTER ABDOMEN.

00:00:00.01

Page 34

Page 35

Notes

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Memory Required 2848 bytes

Additional Memory Required for Residual Plots

0 bytes

Variables Entered/Removed a

Variables Variables Model Entered Removed Method

1 ABDOMENb . Enter

a. Dependent Variable: BODYFAT

b. All requested variables entered.

Model Summary

Adjusted R Std. Error of Model R R Square Square the Estimate

1 . 8 1 4 a . 6 6 2 . 6 6 1 4.5144

a. Predictors: (Constant), ABDOMEN

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 9984.086 1 9984.086 489.903 . 0 0 0 b

Residual 5094.931 2 5 0 20.380

Total 15079.017 2 5 1

a. Dependent Variable: BODYFAT

b. Predictors: (Constant), ABDOMEN

Page 36

Coefficientsa

Unstandardized Coefficients Standardized

Coefficients 95.0% Confidence Interval for B

Model B Std. Error Beta t Sig. Lower Bound Upper Bound

1 (Constant) - 3 5 . 1 9 7 2 . 4 6 2 - 1 4 . 2 9 4 . 0 0 0 - 4 0 . 0 4 6 - 3 0 . 3 4 7

ABDOMEN . 5 8 5 . 0 2 6 . 8 1 4 22.134 . 0 0 0 . 5 3 3 . 6 3 7

a. Dependent Variable: BODYFAT

Regression Graph

Page 37

Notes

Output Created 20-SEP-2017 16:06:27

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Notes

Syntax GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES= BODYFAT ABDOMEN /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource (id("graphdataset") ) DATA: BODYFAT = col (source(s), name ("BODYFAT") ) GRAPH: begin(origin (15%, 10%), scale(75%, 75%)) DATA: ABDOMEN = col (source(s), name ("ABDOMEN") ) GUIDE: axis(dim(1), label("ABDOMEN") ) GUIDE: axis(dim(2), label("BODYFAT") ) ELEMENT: point(position (ABDOMEN * BODYFAT) ) ELEMENT: line(position (smooth.linear (ABDOMEN * BODYFAT)), shape(shape.solid) ) GRAPH: end() GRAPH: begin(origin (15%, 0%), scale(75%, 8%)) GUIDE: axis(dim(1), ticks (null())) COORD: rect(dim(1)) ELEMENT: schema (position(bin.quantile. letter(ABDOMEN)), size (size."80%")) GRAPH: end() GRAPH: begin(origin (92%, 10%), scale(8%, 75%)) COORD: transpose(rect (dim(1))) GUIDE: axis(dim(1), ticks (null())) ELEMENT: schema (position(bin.quantile. letter(BODYFAT)), size (size."80%")) GRAPH: end() END GPL.

00:00:00.23

Page 38

Page 39

Notes

Resources Processor Time 00:00:00.23

Elapsed Time 00:00:00.00

ABDOMEN

1 6 0 . 01 4 0 . 01 2 0 . 01 0 0 . 08 0 . 06 0 . 0

B O

D Y

F A

T

5 0 . 0

4 0 . 0

3 0 . 0

2 0 . 0

1 0 . 0

. 0

Regression BMI on Bodyfat

Notes

Output Created 20-SEP-2017 16:09:43

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BODYFAT /METHOD=ENTER BMI.

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

2848 bytes Page 40

Page 41

Notes

Memory Required

Additional Memory Required for Residual Plots

2848 bytes

0 bytes

Resources

Variables Entered/Removed a

Variables Variables Model Entered Removed Method

1 BMIb . Enter

a. Dependent Variable: BODYFAT

b. All requested variables entered.

Model Summary

Adjusted R Std. Error of Model R R Square Square the Estimate

1 . 6 6 8 a . 4 4 6 . 4 4 4 5.7811

a. Predictors: (Constant), BMI

Page 42

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 6723.709 1 6723.709 201.181 . 0 0 0 b

Residual 8355.307 2 5 0 33.421

Total 15079.017 2 5 1

a. Dependent Variable: BODYFAT

b. Predictors: (Constant), BMI

Coefficientsa

Unstandardized Coefficients Standardized

Coefficients 95.0% Confidence Interval for B

Model B Std. Error Beta t Sig. Lower Bound Upper Bound

1 (Constant) 36.483 1 . 2 8 9 28.294 . 0 0 0 33.944 39.023

BMI - . 7 4 8 . 0 5 3 - . 6 6 8 - 1 4 . 1 8 4 . 0 0 0 - . 8 5 2 - . 6 4 4

a. Dependent Variable: BODYFAT

Regression plot

Page 43

Notes

Output Created 20-SEP-2017 16:10:21

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Notes

Syntax GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES= BODYFAT BMI /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource (id("graphdataset") ) DATA: BODYFAT = col (source(s), name ("BODYFAT") ) GRAPH: begin(origin (15%, 10%), scale(75%, 75%)) DATA: BMI = col(source (s), name("BMI") ) GUIDE: axis(dim(1), label("BMI") ) GUIDE: axis(dim(2), label("BODYFAT") ) ELEMENT: point(position (BMI * BODYFAT) ) ELEMENT: line(position (smooth.linear(BMI * BODYFAT)), shape (shape.solid) ) GRAPH: end() GRAPH: begin(origin (15%, 0%), scale(75%, 8%)) GUIDE: axis(dim(1), ticks (null())) COORD: rect(dim(1)) ELEMENT: schema (position(bin.quantile. letter(BMI)), size(size." 80%")) GRAPH: end() GRAPH: begin(origin (92%, 10%), scale(8%, 75%)) COORD: transpose(rect (dim(1))) GUIDE: axis(dim(1), ticks (null())) ELEMENT: schema (position(bin.quantile. letter(BODYFAT)), size (size."80%")) GRAPH: end() END GPL.

00:00:00.26

Page 44

Page 45

Notes

Resources Processor Time 00:00:00.26

Elapsed Time 00:00:00.00

BMI

5 0 . 04 0 . 03 0 . 02 0 . 01 0 . 0. 0

B O

D Y

F A

T

5 0 . 0

4 0 . 0

3 0 . 0

2 0 . 0

1 0 . 0

. 0

Regression W/ H ration on body f a t

00:00:00.01

Page 46

Notes

Output Created 20-SEP-2017 16:13:33

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BODYFAT /METHOD=ENTER WAISTHIPRATIO.

Page 47

Notes

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Memory Required 2848 bytes

Additional Memory Required for Residual Plots

0 bytes

Variables Entered/Removed a

Variables Variables Model Entered Removed Method

1 WAISTHIPRA TIOb

. Enter

a. Dependent Variable: BODYFAT

b. All requested variables entered.

Model Summary

Adjusted R Std. Error of Model R R Square Square the Estimate

1 . 7 7 4 a . 6 0 0 . 5 9 8 4.9138

a. Predictors: (Constant), WAISTHIPRATIO

Page 48

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 9042.639 1 9042.639 374.506 . 0 0 0 b

Residual 6036.377 2 5 0 24.146

Total 15079.017 2 5 1

a. Dependent Variable: BODYFAT

b. Predictors: (Constant), WAISTHIPRATIO

Coefficientsa

Standardized Unstandardized Coefficients Coefficients 95.0% Confidence Interval for B

Model B Std. Error Beta t Sig. Lower Bound Upper Bound

1 (Constant) - 7 5 . 0 4 2 4 . 8 6 6 - 1 5 . 4 2 1 . 0 0 0 - 8 4 . 6 2 6 - 6 5 . 4 5 8

WAISTHIPRATIO 101.652 5 . 2 5 3 . 7 7 4 19.352 . 0 0 0 91.306 111.997

a. Dependent Variable: BODYFAT

Regression Plot

Page 49

Notes

Output Created 20-SEP-2017 16:14:47

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Notes

Syntax GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES= BODYFAT WAISTHIPRATIO /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource (id("graphdataset") ) DATA: BODYFAT = col (source(s), name ("BODYFAT") ) GRAPH: begin(origin (15%, 10%), scale(75%, 75%)) DATA: WAISTHIPRATIO = col(source(s), name ("WAISTHIPRATIO") ) GUIDE: axis(dim(1), label("WAISTHIPRATIO") ) GUIDE: axis(dim(2), label("BODYFAT") ) ELEMENT: point(position (WAISTHIPRATIO * BODYFAT) ) ELEMENT: line(position (smooth.linear (WAISTHIPRATIO * BODYFAT)), shape (shape.solid) ) GRAPH: end() GRAPH: begin(origin (15%, 0%), scale(75%, 8%)) GUIDE: axis(dim(1), ticks (null())) COORD: rect(dim(1)) ELEMENT: schema (position(bin.quantile. letter(WAISTHIPRATIO)), size(size."80%")) GRAPH: end() GRAPH: begin(origin (92%, 10%), scale(8%, 75%)) COORD: transpose(rect (dim(1))) GUIDE: axis(dim(1), ticks (null())) ELEMENT: schema (position(bin.quantile. letter(BODYFAT)), size (size."80%")) GRAPH: end() END GPL.

00:00:00.34

Page 50

Page 51

Notes

Resources Processor Time 00:00:00.34

Elapsed Time 00:00:01.00

WAISTHIPRATIO

1 . 1 01 . 0 0. 9 0. 8 0. 7 0

B O

D Y

F A

T

5 0 . 0

4 0 . 0

3 0 . 0

2 0 . 0

1 0 . 0

. 0

Regression Age on Bodyfat

00:00:00.01

Page 52

Notes

Output Created 20-SEP-2017 16:20:06

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BODYFAT /METHOD=ENTER AGE.

Page 53

Notes

Resources Processor Time 00:00:00.01

Elapsed Time 00:00:00.00

Memory Required 2848 bytes

Additional Memory Required for Residual Plots

0 bytes

Variables Entered/Removed a

Variables Variables Model Entered Removed Method

1 AGEb . Enter

a. Dependent Variable: BODYFAT

b. All requested variables entered.

Model Summary

Adjusted R Std. Error of Model R R Square Square the Estimate

1 . 2 8 9 a . 0 8 4 . 0 8 0 7.4345

a. Predictors: (Constant), AGE

Page 54

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 1260.927 1 1260.927 22.813 . 0 0 0 b

Residual 13818.089 2 5 0 55.272

Total 15079.017 2 5 1

a. Dependent Variable: BODYFAT

b. Predictors: (Constant), AGE

Coefficientsa

Unstandardized Coefficients Standardized

Coefficients 95.0% Confidence Interval for B

Model B Std. Error Beta t Sig. Lower Bound Upper Bound

1 (Constant) 10.955 1 . 7 3 6 6 . 3 1 2 . 0 0 0 7 . 5 3 7 14.374

AGE . 1 7 8 . 0 3 7 . 2 8 9 4 . 7 7 6 . 0 0 0 . 1 0 5 . 2 5 1

a. Dependent Variable: BODYFAT

GGraph

Page 55

Notes

Output Created 20-SEP-2017 16:20:48

Comments

Input Data /Users/Rick/Desktop/PU B4009/spss/FAT.sav

Active Dataset DataSet1

Filter < n o n e >

Weight < n o n e >

Split File < n o n e >

N of Rows in Working Data File

2 5 2

Notes

Syntax GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES= BODYFAT AGE /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource (id("graphdataset") ) DATA: BODYFAT = col (source(s), name ("BODYFAT") ) GRAPH: begin(origin (15%, 10%), scale(75%, 75%)) DATA: AGE = col(source (s), name("AGE") ) GUIDE: axis(dim(1), label("AGE") ) GUIDE: axis(dim(2), label("BODYFAT") ) ELEMENT: point(position (AGE * BODYFAT) ) ELEMENT: line(position (smooth.linear(AGE * BODYFAT)), shape (shape.solid) ) GRAPH: end() GRAPH: begin(origin (15%, 0%), scale(75%, 8%)) GUIDE: axis(dim(1), ticks (null())) COORD: rect(dim(1)) ELEMENT: schema (position(bin.quantile. letter(AGE)), size(size." 80%")) GRAPH: end() GRAPH: begin(origin (92%, 10%), scale(8%, 75%)) COORD: transpose(rect (dim(1))) GUIDE: axis(dim(1), ticks (null())) ELEMENT: schema (position(bin.quantile. letter(BODYFAT)), size (size."80%")) GRAPH: end() END GPL.

00:00:00.23

Page 56

Page 57

Notes

Resources Processor Time 00:00:00.23

Elapsed Time 00:00:01.00

AGE

8 06 04 02 0

B O

D Y

F A

T

5 0 . 0

4 0 . 0

3 0 . 0

2 0 . 0

1 0 . 0

. 0