U.S. ENVIRONMENTAL PROTECTION AGENCY
NATIONAL EUTROPHICATION SURVEY
WORKING PAPER SERIES
STATISTICAL MANIPULATION OF
NATIONAL EUTRDPHICATION SURVEY
WATER QUALITY DATA IN STORET
FORMAT FOR ACQUIRING
ANALYSIS CAPABILITIES OF
WORKING PAPER No, 472
PACIFIC NORTHWEST ENVIRONMENTAL RESEARCH LABORATORY
An Associate Laboratory of the
NATIONAL ENVIRONMENTAL RESEARCH CENTER - CORVALLIS, OREGON
and
NATIONAL ENVIRONMENTAL RESEARCH CENTER - LAS VEGAS, NEVADA
•&GPO 697-O32
-------
STATISTICAL MANIPULATION OF
NATIONAL EUTRDPHICATION SURVEY
WATER QUALITY DATA IN STORET
FORMAT FOR ACQUIRING RAPID.DATA
ANALYSIS CAPABILITIES OF STORET DATA
WORKING PAPER No, 472
NATIONAL BJTROPHICATION SURVEY
OCTOBER 1975
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STATISTICAL MANIPULATION OF
NATIONAL EUTROPHICATION SURVEY
WATER QUALITY DATA IN STORET
Format for Acquiring Rapid Data
Analysis Capabilities of STORET Data
by
James D. Bliss
Water and Land Quality Branch
Monitoring Operations Division
Michael J. Friedland and Julia Hodson
Data Services Branch
Office of Program Management and Support
Environmental Monitoring and Support Laboratory
Las Vegas, Nevada
Working Paper No. 472
OFFICE OF RESEARCH AND DEVELOPMENT
U.S. ENVIRONMENTAL PROTECTION AGENCY
October 1975
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Effective June 29, 1975, the National Environmental Research
Center-Las Vegas was designated the Environmental Monitoring and
Support Laboratory-Las Vegas, and the National Environmental
Research Center-Corvallis was designated the Con/all is Environmen-
tal Research Laboratory.
The mention of trade names or commercial products does not
constitute U.S. Environmental Protection Agency endorsement or
recommendation for use.
-------
n
CONTENTS
Page
FOREWORD iii
CONCLUSIONS 1
RECOMMENDATIONS 1
INTRODUCTION 2
CONCEPT OF DATA ANALYSIS 4
"STORET.TO.WYLBUR" 6
A WORD ABOUT SAS 9
REFERENCES AND BIBLIOGRAPHY 10
APPENDIX 11
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m
FOREWORD
The National Eutrophication Survey was initiated in 1972 in
response to an Administration commitment to investigate the nationwide
threat of accelerated eutrophication to freshwater lakes and
reservoirs.
The Survey was designed to develop, in conjunction with State
environmental agencies, information on nutrient sources,
concentrations, and impact on selected freshwater lakes as a basis for
formulating comprehensive and coordinated national, regional, and
State management practices relating to point source discharge
reduction and nonpoint source pollution in lake watersheds.
The mathematical and statistical procedures selected for the
Survey's eutrophication analyses are based on related concepts that:
(1) A generalized representation or model relating sources,
concentrations and impacts can be constructed.
(2) By applying measurements of relevant parameters associated
with lake degradation, the generalized model can be
transformed into an operational representation of a lake, its
drainage basin, and related nutrients.
(3) With such a transformation, an assessment of the potential
for eutrophication control can be made.
An individual report is prepared for each study lake. In the lake
report, the first stage of evaluation of lake and watershed data
collected from the study lake and its drainage basin is documented.
The report is designed to provide State environmental agencies with
specific information for basin planning water quality
criteria/standards review, clean lakes, and water quality monitoring
activities mandated by the Federal Water Pollution Control Act
Amendments of 1972. Each report is published as a National
Eutrophication Survey Working Paper.
Beyond the single lake analysis, broader based correlations
between nutrient concentrations (and loading) and trophic condition
are being made to strengthen the rationale and data base for
refinement of nutrient water quality criteria for the Nation's
freshwater lakes. Likewise, multivariate evaluations for the
relationships between land use, nutrient export, and trophic
-------
IV
condition, by lake class or use, are being developed to assist in the
formulation of planning guidelines and policies by the U.S.
Environmental Protection Agency and to augment plans implementation by
the States.
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CONCLUSIONS
As a principal participating staff of the National Eutrophication
Survey*, the Environmental Monitoring and Support Laboratory-Las
Vegas1 Water and Land Quality Branch of the Monitoring Operations
Division has collected water quality data from more than 800 selected
lakes throughout the contiguous United States. To dates the Survey
has yielded over two million data points.
Analyses of these water quality data address problems unique to
lakes and not amenable to those computer programs available in the
U.S. Environmental Protection Agency's STORE! (STOrage and RETrieval)
system.
Consequently, a job control language packages "STORET„TO.WYLBUR9"
was developed to convert raw data in STORET to a standardized format
for statistical evaluation and manipulation of Survey data.
"STORET.TO.WYLBUR" has proven to be a very effective means for
acquiring rapid data analysis capabilities of STORET data and may be
implemented with facility by both experienced and relatively
inexperienced computer programmers.
RECOMMENDATIONS
The "STORET.TO.WYLBUR" program has satisfied the Water and Land
Quality Branch's additional requirements and is easily used by most
computer personnel. This data analysis scheme may well be ideal for
generalized use. It is recommended that the program be added as
another program option internal to the Agency's STORET system and the
supporting documentation be generated to assist those wishing to use
this computer program.
*The Special Studies Branch9 Criteria and Assessment Division9 Corvallis
Environmental Research Laboratory, Corvallis9 Oregon is also a principal
participating staff involved with this pr9Ject. The Corvallis laboratory
was primarily responsible for the collection of municipal sewage treatment
plant and tributary water quality data (USEPA 1975).
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INTRODUCTION
The purpose of this report is to demonstrate a system for a STORET
user to easily acquire rapid and flexible data analysis capabilities
with minimal effort. The data management scheme outlined is for the
use of organizations which haves or will have, a data base in STORET
and require programming options beyond those available in STORET.
The following definitions of terms may be helpful to enhance the
reader's comprehension:
STORET: a central computer-oriented system used by the Agency to
categorize, store, and retrieve water quality data.
PGM=RET: a STORET program command calling for a variety of
retrieval programs internal to STORET.
MORE File: a disk file created by PGM=RET retrieval which
contains condensed IBM (International Business Machines)
hexadecimal output (STORET User's Manual, Vol. 2S Chapter 10,
Section M, 1973).
WYLBUR: a text "editor" and remote job entry facility.
EDIT: a format compatible with the WYLBUR text-editing system
available at OSI (Optimum Systems Incorporated).
SAS (Statistical Analysis System) and BIOMED (Biomedical
Statistical Computer Programs): two software packages which allow
convenient implementation of various statistical techniques.
The procedures involved in implementing this scheme were designed
to enable users with varying levels of systems expertise to use them.
However, it is expected that a user of this system have some knowledge
-------
of the mechanics of conducting STORE! retrievals, particularly PGM=RE!
and associated options and the more common WYLBUR editing commands.
The ability to tailor the raw data retrievals from STORE! will help
appreciably in preparing data for further analysis.
HISTORICAL BACKGROUND
In early 1974, the only computer operation within the Water and
Land Quality Branch consisted of STORE! (lake) data retrievals via a
remote terminal (WYLBUR). Because the data processing and analytical
requirements were not satisfied by the program options internal to the
STORE! system9 a serious need to convert the raw data in STORE! to
some other accessible form was recognized.
!he Branch alerted the Laboratory's data services staff
Services Branch, Office of Program Management and Support) to this
problem and requested their assistance. As a results a job control
language (JCL) package, "STORE!.TO.WYLBUR," was written. This program
contains the appropriate IBM JCL and FORTRAN (FORmula and TRANslatlon,
a computer language) programming (Friedland 1974) for conversion of
the PGM=RET output, or raw data retrieval of STORE!, into an
acceptable input form for use with so-called packaged programs (e.g.,
SAS, BIOMED) or user-created programs. After a short training course
on SAS9 data evaluation was effected. Within about 3 months, the
Branch personnel could handle most analytical requirements with ease.
Using "STORE!.TO.WYLBUR" in conjunction with SAS has proven to be a
powerful and highly flexible tool for data analysis.
PROGRAM SUMMARY
Initially, STORE! retrieval data are transferred into a MORE File
by PGM=RE!. "STORE!.TO.WYLBUR" accesses this and converts it to
standard card-images and then into EDI! format. Data are then
accessible to the WYLBUR user for input into mathematical packages
such as SASS BIOMED, etc., and subsequently are analyzed easily (or
merged with other data files) in accordance with the unique
requirements of a given research program. Both novice and expert
users are able to use this data handling method successfully.
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CONCEPT OF DATA ANALYSIS
Generally, data analysis operations within the Branch are divided
into three primary areas of involvement as shown in Figure 1, Th©se
areas are:
(1) STORET - used primarily as a data storage facility. Except
for transfer of raw data in the "STORET.TO.WYLBUR" operation,
minimal use is made of the programs internal to STORET.
(2) "STORET.TO.WYLBUR" - converts data Into EDIT format from the
MORE File generated by the STORET raw data retrieval. The
stylized output format is compatible with packaged
programming or user-created programming.
(3) SAS - used for its extensive data massaging capabilities
(equivalent to FORTRAN) as well as numerous statistical
procedures which generate plots, implement regression
analyses, etc.
Other operations include merging or concatenation of other files
(Block 4, Figure 1) with the STORET data (Block ])„ SAS can also
generate data cards to be used In other programs (Block 50 Figure 1).
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FIGURE 1. Output flow diagram demonstrating data processing logic
1.
STORE!
OUTPUT
(STANDARD PGM\ (MORE FILE)
OPTIONS) \ [4-
2.
STORET.TO.WYLBUR
OTHER FILES -
BIOLOGICAL, ETC.
(EDIT)
(MERGING/
'CONCATENATION)
•(EDIT)
3.
SAS
(CARDS)
5.
FORTRAN, BIO MED,
ETC. PROGRAMS
OUTPUT
1
DATA MANIPULATION
SORTING
PRINTING
STATISTICAL
ANALYSIS
-------
"STORET.TO.WYLBUR"
USING "STORET.TO. WYLBUR"
The necessary changes for setting up a job are located 1n three
areas of the JCL package. On Line 1 in Figure 2 is the job card which
must be adjusted to comply with the initials and account of each user
(see page 2-1, OSI User's Manual 1973). The second segment to be
changed is Lines 4-8, the STORET retrieval coding for the data that
are to be converted. If "PRT=NO" (a STORET program command meaning
"do not print") is not included, STORET raw data printout will also be
generated. On Line 16, the number of parameters found in the STORET
coding is given. Line 17 identifies the disk file where the converted
data are written and the file name. Disk and data set name must be
adjusted to fit .Individual requirements as shown below.
17 //EXEC EDSCARDS, NAME='CNAAA.BBB.CCC',DISK=TSOXXX,TYPE=OLD
. ACCOUNT NO. - AAA
INITIAL - BBB
, DATA SET NAME - CCC
VOLUME USED - XXX
Since the file type is old, a dummy file with the file name assigned
by the user should be saved on the disk pack Indicated. A copy of the
above program entitled "&CNA805.RWT.STORET.TO.WYBLUR" is currently
available to interested persons on TS0001 (one of 16* on-line disk
packs available through OSI).
*Number of on-line disk packs subject to change.
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FIGURE 2. Listing of "STORET.TO.WYLBUR"
1. //IIIWY JOB (AAAA,BIN,01,01,01),' STR-TO-WYL',MSGLEVEL=(1,1)
2. // EXEC WQDIST
3. . 7/DIST.CARDFD DD *
4. PGM RET,PURP=104/EPA,A 11EPALES,MORE=4, RWT 35,B P,
5. S=380000,5=380499,
6. P=671,P=665,
7. 1=77777702,
8. PRT=NO,
9. // EXEC FORTGLG,PARM='NOMAP'
10. //LKED.SYSIN DD DSN=CNA805.RNS.RDSTOR,
11. •••//• UNIT=3330,VOL=SER=TS0004,DISP=SHR
12. //GO.FT15F001 DD DSN=&FCF,DISP=(OLD,DELETE)
13. //GO.FT12F001 DD DSN=&LAKFIL,DISP=(NEW,PAS£),UNIT=SYSDA,
14; // SPACE=(TRK,(25,10)),DCB=(RECFM=FB,LRECL=80,BLKSIZE=1680)
15. -7/GO.SYSIN DD *
16. 02 NUMBER OF PARAMETERS RETRIEVED IN 1-2 (1-50)
17. // EXEC EDSCARDS,NAME*'CNA805.RWT.DATA.SET1,DISK=TS0001,TYPE=OLD
18; //CARDS DD DSN-&LAKFIL,DISP*OLD
"STORET.TO.WYLBUR" OUTPUT
The output of "STORET.TO.WYLBUR" written onto a disk pack follows
the format shown in Figure 3. Because only a maximum of six
parameters can be written per line, a sequence number is given at the
end of each line indicating whether it is the first, second, etc.,
line of information for a given station. Each parameter result field
is 10-columns wide. At the end of each line is given the station
STORET number in Columns 61-66; year, 67-68; month, 69-70; date, 71-
72; time of day, 73-76; depth, 77-79; and sequence in Column 80. As
missing values are represented by "-123.000," it is necessary to
replace these numbers with a string of eight blanks using the WYLBUR
"CHANGE" command before making use of these data sets. The
programming allows up to 50 parameters to be converted to EDIT format
in any one given run.
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8
FIGURE 3. The data set created by "STORET.TO.WYLBUR" on TS0002
c u
o c
•r- JC 0)
•«-> 0)
+*. (O -i- 0)
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ADVANTAGES
(1) Anyone who can set up a STORE! raw data retrieval will have
minimal problems in converting it into EDIT format on the OSI
computer system.
(2) The data output of "STORET.TO.WYLBUR" has a formalized
structure which provides a data file on which other programs
(;user-written, BIOMED, SAS, etc.) can operate.
(3) Knowledge of IBM JCL is minimal. The "STORET.TO.WYLBUR"
program is ideal for users who have neither time nor long-
term requirements to learn the intricacies of IBM JCL.
DISADVANTAGES
(1) Parameter order must be clearly determined on the data file
created, or gross errors may occur.
(2) Large "STORET.TO.WYLBUR" data files are expensive to
manipulate using the WYLBUR editor.
A WORD ABOUT SAS
Since SAS is the principal software package used by the Branch,
its capabilities can be clearly stated. First of all, SAS is a
unified system of data manipulation, editing, and statistical analysis
(Service 1972). Programming and assignment statements are designed to
enable the user to effectively modify data prior to final analysis and
display. Statistical analysis, plotting, and sorting can usually be
implemented using only several lines of coding associated with
"PROCEDURE" statements. Subsetting, concatenation, and data set
merging have proven to be invaluable tools in data manipulation
available in SAS. In fact, SAS has been used extensively to merge
water quality information originating in STORET with biological
information to create needed data files. SAS may also be used to
process information with the subsequent output passed from the system
into card format for input into other software packages or user-
written programming. A sample SAS program built around a data file
created by "STORET.TO.WYLBUR" is shown in the Appendix. The output of
the program is also included.
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10
REFERENCES
Friedland, M. J. 1974. A Method for Improving User Access to STORET.
Proceedings No. 1, Office of Research and Development ADP Workshop,
Bethany College, October 2-4. pp. 37-45.
Service, Jolayne. 1972. A .User's Guide to the Statistical Analysis
System. (Based on Statistical Analysis System Manual prepared by
A- J. Barr and J. H. Goodnight). Student Supply Stores, North
Carolina State University, Raleigh, North Carolina.
U.S. Environmental Protection Agency. 1974. STORET Handbook, Vol. 2,
Chapter 10.
U.S. Environmental Protection Agency. 1975. National Eutrophication
Survey Methods 1973-1976. Working Paper No. 175. Environmental
Monitoring and Support Laboratory, Las Vegas, Nevada, and
Corvallis Environmental Research Laboratory, Corvallis, Oregon.
BIBLIOGRAPHY
Optimum Systems Incorporated. 1973. User's Manual. Bethesda,
Maryland.
Perkins, Carroll G. 1974. A Guide to the Supplementary Procedure
Library for the Statistical Analysis System. North Carolina
State University, Raleigh, North Carolina.
U.S. Environmental Protection Agency. 1974. Handbook - Water Quality
Control Information System - STORET. Volumes 1, 2, and 3.
Washington, D. C.
1975. User's Manual for EPA Scientific Applications
Software. Washington, D. C.
-------
11
APPENDIX
The program (&CNA^5.Rfcn\ST^ .—
//RWTWY JOB (A805.BIN,01,01,01),' STR-TO-WYL1,MS6LEVEL«(1,1)
// EXEC WQDIST
//DIST.CARDFD DD *
PGM RET,PURP=104/EPA,A 11EPALES,MORE=4,RWT 35.B P,
5=380000,5=380499,
P=671,P=665,
1=77777702,
PRT=NO,
// EXEC FORTGLG,PARM='NOMAP'
//LKED.SYSIN DD DSN=CNA805.RNS.RDSTOR,
// UNIT=3330,VOL=SER=TS0004,DISP=SHR
//GO.FT15F001. DD DSN=&FCF,DISP=(OLD,DELETE)
//GO.FT12F001 DD DSN=&LAKFIL,DISP=(NEW,PASS),UNIT=SYSDA,
// SPACE=(TRK,(25,10)),DCB=(RECFM=FB,LRECL=80,BLKSIZE=1680)
//GO.SYSIN DD *
02 NUMBER OF PARAMETERS RETRIEVED IN 1-2 (1-50)
// EXEC EDSCARDS,NAME='CNA805.RHT.DATA.SET',DISK»TS0002.TYPE«OLD
//CARDS DD DSN»&LAKFIL,DISP«OLD
Part of data set written (note that the data set Is a standard UYLBUR
File and Is accessed Into working memory by the "USE" command):
Data Set Name: DATA.SET Location: TS0002
0.170 0.260 - 0.000 0.000 0.000 0.00038010174 430 920 01
0.161 0.245 0.000 0.000 0.000 0.00038010174 430 920 51
0.160 0.243 0.000 0.000 0.000 0.00038010174 430 920 151
0.155 0.239 0.000 0.000 0.000 0.00038010174 430 920 231
0.279 0.283 0.000 0.000 0.000 0.00038010174 7171120 01
0.277 0.292 0.000 0.000 0.000 0.00038010174 7171120 51
0.307 0.326 0.000 0.000 0.000 0.00038010174 7171120 151
0.274 0.318 0.000 0.000 0.000 0.00038010174 7171120 201
0.220 0.275 0.000 0.000 0.000 0.00038010174 9171410 01
0.204 0.245 0.000 0.000 0.000 0.00038010174 9171410 151
0.193 0.245 0.000 0.000 0.000 0.00038010174 9171410 271
0.147 0.261 0.000 0.000 0.000 0.00038010274 430 945 01
0.138 0.247 0.000 0.000 0.000 0.00038010274 430 945 81
0.273 0.377 0.000 0.000 0.000 0.00038010274 7171030 01
0.280 0.314 0.000 0.000 0.000 0.00038010274 7171030 51
0.281 0.319 0.000 0.000 0.000 0.00038010274 7171030 171
0.088 0.224 0.000 0.000 0.000 0.00038010274 9171455 01
ETC.
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12
The SAS program below 1s built around the preceding data set. Check the
external copy command 1n the OSI Manual for rapid combining methods of
pre-existing programming and data files:
//RWT JOB (A805,45,1,1),'SAS RUN1,MSGLEVEL«(0,0)
// EXEC SAS
//SAS.SYSIN DD *
TITLE 'ORTHOPHOSPHATE VS TOTAL PHOSPHORUS FOR SELECTED
DATA RAW;
INPUT CHLA 1-10 PT 11-20;
CARDS;
LAKES'
0.170
0.161
0.160
0.155
0.279
0.277
0.307
0.
0.
0.
,193
,147
,138
0.273
0.280
0.281
0.088
0.260
0.245
0.243
0.239
0,283
0.292
0.326
0.245
0.261
0.247
0.377
0.314
0.319
0.224
0.000 0.000 0.000 0.00038010174
0.000 0.000 0.000 0.00038010174
0.000 0.000 0.000 0.00038010174
0.000 0.000 0.000 0.00038010174
0.000 0.000 0.000 0.00038010174
0.000 0.000 0.000 0.00038010174
0.000 0.000 0.000 0.00038010174
0,
0,
0,
0,
0.
0.
0.
000
000
000
000
000
000
000
ETC
PROCEDURE PRINT;
PROCEDURE PLOT;
PROCEDURE CORR;
PROCEDURE REGR; MODEL PROTHO=PT;
/*
01
51
430 920
430 920
430 920 151
430 920 231
7171120
7171120
01
51
0.000 0.000 0.00038010174
0.000 0.000 0.00038010274
0.000 0.000 0.00038010274
0.000 0.000 0.00038010274
0.000 0.000 0.00038010274
0.000 0.000 0.00038010274
0.000 0.000 0.00038010274
7171120 151
9171410 271
430 945 01
430 945 81
7171030
7171030
7171030
9171455
01
51
171
01
Following is the output generated by the preceding program. The results
can be fetched using "FETCH XXX DDN=FT03F001" where XXX is the job number.
This output demonstrates the capabilities of the SAS "PROCEDURE" statements
and was a modified program example (Service 1972):
-------
ORTHOPHOSPHATE vs TOTAL PHOSPHORUS FOR SELECTED LAKES
19t 1« THURSDAYt OCTOBER 9t 1975
TITLE »0«THOPHOSPHATE VS TOTAL PHOSPHOHUS FOR SELECTED LAKES'I
DATA RAWI
INPUT PORTHO 1-10 PT 11-20«
CARDS
106 OBSERVATIONS IN DATA SET RAto 2 VARIABLES
PROCEDURE PRINT!
ORThOPHOSPHATE VS TOTAL PHOSPHORUS FOR SELECTED LAKES
OHS
POHTHO
PT
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
16
19
20
21
22
23
24
26
26
27
26
29
30
31
32
33
34
35
36
37
38
39
.170
.161
.160
.155
.279
.277
.307
.274
.220
.204
.193
.147
.136
.273
.280
.281
.088
.097
.119
.117
.119
.304
.317
.299
.OSA
.066
.074
.117
.273
.273
.286
.278
.117
.117
.112
.023
.Olb
.016
.013
.260
.245
.243
.239
.283
.292
.326
.318
.275
.245
.245
.261
.247
.377
.314
.319
.224
.216
.237
.237
.236
.477
.412
.395
.202
.196
.197
.247
.303
.323
.298
.306
.212
.213
.286
.130
.131
.129
.059
co
ETC.
-------
PROCEDURE PLOT I
0.40000000
0.32000000
0.24000000
PORTHO
0.16000000
0.00000000
0.00000000
ORTMOPHOSPHATE VS TOTAL PHOSPHORUS FOR SELECTED LAKES
PLOT OF PORTHO vs PT
A A
A A AAAAA
A A
A
A A AA
A
A
A A
AA
A
A
A A
B C A
BAA
A
AAA
A AAABA A
ABE A ABO AACB A AA A
AA A BA A
-0.02500000 0.07500000
LEGEND I A « 1 OBS • B • 2 OBS » ETC.
OHTHOPHOSPHATE vs TOTAL PHOSPHORUS FOR SELECTED LAKES
0.17500000
PT
0.27300000 0.37500000 0.47500000 I
19118 THURSDAY* OCTOBER 9* 1975
-------
PROCEDURE CORRI
ORTMO
T
- 106
ORTNO
T
N
106
106
PORTHO
1.000000
0.0000
0.921752
0.0001
SUM
10.99700000
19.64900000
C
PT
0.921752
0.0001
1.000000
0.0000
OHTHOPHOSPHATE VS TOTAL PHOSPHORUS FOB SELECTED LAKES
MEAN MIN VALUE MAX VALUE
0.10374528 0.00600000 0.31700000
0.18536798 0.04100000 0.47700000
OHTHOPMOSPHATE VS TOTAL PHOSPHORUS FOR SELECTED LAKES
CORRELATION COEFFICIENTS / PROB > I * I UNDER HO: RHO=0
CORRECTED SS
1.08141012
1.27634065
STANDARD DEV
0.10148470
0.11033890
RTHOPHOSPHAU VS TOTAL PHOSPHORUS FOR SELECTED LAKES
THURSDAY. OCTOBER 9. 1979
PROCEDURE RE6RI MODEL POKTHO=PTJ
PROC REGR
DATA SET
: ORTHOPHOSPHATE VS TOTAL PHOSPHORUS FOR SELECTED LAKES
: RAW NUMBER
VARIABLES : PORTHO PT
ORTHOPHOSPHATE VS TOTAL
ANALYSIS OF VARIANCE TABLE . REGRESSION COEFFICIENTS
SOURCE
REGRESSION
ERROR
CORRECTED TOTAL
SOURCE
PT
SOURCE
INTERCEPT
PT
OF
1
104
105
OF
1
B VALUES
-0.05340699
0.84778571
SUM OF SQUARES
0.91879534
0.16261479
1.08141012
SEQUENTIAL SS
0.91879534
T FOR HO:B«0
-7.08762
24.24075
OF VARIABLES » 2
PHOSPHORUS FOR SELECTED
* AND STATISTICS OF FIT
MEAN SQUARE F
0.91879534 587.
0.00156360
f VALUE PROB > F
587.61393 0.0001
PROB > IT)
0.0001
0.0001
NUMBER OF CLASSES * 0
LAKES
FOR DEPENDENT VARIABLE
VALUE PROB > F
61393 0.0001
PARTIAL SS
0.91879534
STD ERR B
0.00753525
0.03497358
PORTHO
H-SOUARE C.V.
0.84962709 38.11492 %
STD DEV PORTHO MEAN
0.03954243 0.10375
F VALUE PROB > F
587.61393 0.0001
STO B VALUES
0.0
0.9217521B
IT.
ORTHOPHOSPHATE VS TOTAL PHOSPHORUS FOR SELECTED LAKES
19118 THURSDAY* OCTOBER 9* 1975
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