comment recursive path model of illness, figure 7.5, table 4.2. comment model diagram with ols estimates in figure 11.1. comment observed means are 40.90 0.0 67.10 4.80 716.70. comment but this model has no mean structure. matrix data variables = exercise hardiness fitness stress illness/contents=mea n sd n corr /format=lower nodiagonal. begin data 0 0 0 0 0 66.50 38.00 18.40 33.50 62.48 373 373 373 373 373 -.03 .39 .07 -.05 -.23 -.13 -.08 -.16 -.29 .34 end data. comment vanishing partial correlations for conditional independences of a basi s set. partial corr matrix=in(*)/variables = exercise with stress by hardiness (1). Partial Corr Notes Output Created Comments Input Filter Weight Split File N of Rows in Working Data File Matrix Input Missing Value Handling Definition of Missing Cases Used Syntax Resources Processor Time Elapsed Time 03-JAN-2015 21:07:12 <none> <none> <none> 8 working data file User defined missing values are treated as missing. Statistics are based on cases with no missing data for any variable listed. partial corr matrix=in(*)/variables = exercise with stress by hardiness (1). 00:00:00.02 00:00:00.00 Page 1
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comment recursive path model of illness, figure 7.5, table 4.2. comment model diagram with ols estimates in figure 11.1.
comment observed means are 40.90 0.0 67.10 4.80 716.70.
comment but this model has no mean structure.
matrix data variables = exercise hardiness fitness stress illness/contents=mea
n sd n corr
/format=lower nodiagonal.
begin data
0 0 0 0 0
66.50 38.00 18.40 33.50 62.48
373 373 373 373 373
-.03
.39 .07
-.05 -.23 -.13
-.08 -.16 -.29 .34
end data.
comment vanishing partial correlations for conditional independences of a basi
s set.
partial corr matrix=in(*)/variables = exercise with stress by hardiness (1).
Partial Corr
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User defined missing values are treated as missing.Statistics are based on cases with no missing data for any variable listed.partial corr matrix=in(*)/variables = exercise with stress by hardiness (1).
00:00:00.02
00:00:00.00
Page 1
Correlations
Control Variables stress
hardiness exercise Correlation
Significance (2-tailed)
df
-.058
.260
370
partial corr matrix=in(*)/variables = exercise with illness by fitness, stress
(2).
Partial Corr
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User defined missing values are treated as missing.Statistics are based on cases with no missing data for any variable listed.partial corr matrix=in(*)/variables = exercise with illness by fitness, stress (2).
00:00:00.00
00:00:00.00
Correlations
Control Variables illness
fitness & stress exercise Correlation
Significance (2-tailed)
df
.039
.450
369
partial corr matrix=in(*)/variables = hardiness with fitness by exercise (1).
Partial Corr
Page 2
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User defined missing values are treated as missing.Statistics are based on cases with no missing data for any variable listed.partial corr matrix=in(*)/variables = hardiness with fitness by exercise (1).
00:00:00.00
00:00:00.00
Correlations
Control Variables fitness
exercise hardiness Correlation
Significance (2-tailed)
df
.089
.087
370
partial corr matrix=in(*)/variables = hardiness with illness by fitness, stres
s (2).
Partial Corr
Page 3
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User defined missing values are treated as missing.Statistics are based on cases with no missing data for any variable listed.partial corr matrix=in(*)/variables = hardiness with illness by fitness, stress (2).
00:00:00.00
00:00:00.00
Correlations
Control Variables illness
fitness & stress hardiness Correlation
Significance (2-tailed)
df
-.081
.118
369
partial corr matrix=in(*)/variables = fitness with stress by exercise, hardine
ss (2).
Partial Corr
Page 4
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User defined missing values are treated as missing.Statistics are based on cases with no missing data for any variable listed.partial corr matrix=in(*)/variables = fitness with stress by exercise, hardiness (2).
00:00:00.00
00:00:00.00
Correlations
Control Variables stress
exercise & hardiness fitness Correlation
Significance (2-tailed)
df
-.103
.048
369
comment estimates of unanalyzed association between exrercise and hardiness.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=exercise,hardiness/dependent=hardiness/method=enter/descriptives=cov corr.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=exercise,fitness/dependent=fitness/method=enter.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=hardiness,stress/dependent=stress/method=enter.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=fitness,illness,exercise/dependent=illness/method=enter.
comment sufficient set is hardiness. regression matrix=in(*)/variables=fitness,illness,hardiness/dependent=illness/
method=enter.
Regression
Page 13
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
Memory Required
Additional Memory Required for Residual Plots
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=fitness,illness,hardiness/dependent=illness/method=enter.
comment sufficient is stress. regression matrix=in(*)/variables=fitness,illness,stress/dependent=illness/met
hod=enter.
Regression
Page 15
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
Memory Required
Additional Memory Required for Residual Plots
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=fitness,illness,stress/dependent=illness/method=enter.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=stress,illness,exercise/dependent=illness/method=enter.
comment sufficient set is hardiness. regression matrix=in(*)/variables=stress,illness,hardiness/dependent=illness/m
ethod=enter.
Regression
Page 19
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
Memory Required
Additional Memory Required for Residual Plots
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=stress,illness,hardiness/dependent=illness/method=enter.
comment sufficient set is fitness. regression matrix=in(*)/variables=stress,illness,fitness/dependent=illness/met
hod=enter.
Regression
Page 21
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
Memory Required
Additional Memory Required for Residual Plots
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=stress,illness,fitness/dependent=illness/method=enter.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=exercise,hardiness,illness/dependent=illness/method=enter.
comment sufficient set is stress. regression matrix=in(*)/variables=exercise,stress,illness/dependent=illness/me
thod=enter.
Regression
Page 25
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
Memory Required
Additional Memory Required for Residual Plots
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=exercise,stress,illness/dependent=illness/method=enter.
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=hardiness,exercise,illness/dependent=illness/method=enter.
comment sufficient set is fitness. regression matrix=in(*)/variables=hardiness,fitness,illness/dependent=illness/
method=enter.
Regression
Page 29
Notes
Output Created
Comments
Input Filter
Weight
Split File
N of Rows in Working Data File
Matrix Input
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
Memory Required
Additional Memory Required for Residual Plots
03-JAN-2015 21:07:12
<none>
<none>
<none>
8
working data file
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.regression matrix=in(*)/variables=hardiness,fitness,illness/dependent=illness/method=enter.