I need you to interpret these data and graph from my output (tell me what they mean). you just need to write some sentences to describe each page and please define each abreviated word and explain them as well (such as: df= degree of freedom is……..) b/c they are some terms i do not understand. I’ve attached the SAS programming as well as if it can help. The doc to interpret is named “interpreting data stats” .
Please be concise
Bachlors or Higher by Race |
The UNIVARIATE Procedure
Variable: LessThanHighSchool
Moments
N
8
Sum Weights
8
Mean
24.
1
97375
Sum Observations
193.579
Std Deviation
8.89374775
Variance
79.0987491
Skewness
0.576002
Kurtosis
0.15540294
Uncorrected SS
5237.7949
Corrected SS
553.691244
Coeff Variation
36.7550106
Std Error Mean
3.14441467
Basic Statistical Measures
Location
Variability
Mean
24.19738
Std Deviation
8.89375
Median
21.87450
Variance
79.09875
Mode
.
Range
27.86400
Interquartile Range
9.42000
Tests for Location: Mu0=0
Test
Statistic
p Value
Student’s t
t
7.695351
Pr > |t|
0.0001
Sign
M
4
Pr >= |M|
0.0078
Signed Rank
S
18
Pr >= |S|
0.0078
Quantiles (Definition 5)
Quantile
Estimate
100% Max
38.9360
99%
38.9360
95%
38.9360
90%
38.9360
75% Q3
29.6655
50% Median
21.8745
25% Q1
20.2455
10%
11.0720
5%
11.0720
1%
11.0720
0% Min
11.0720
Extreme Observations
Lowest
Highest
Value
Obs
Value
Obs
11.072
1
21.736
5
19.753
2
22.013
4
20.738
7
24.105
3
21.736
5
35.226
8
22.013
4
38.936
6
Bachlors or Higher by Race
The UNIVARIATE Procedure
Variable: HighSchoolOrEquiv
Moments
N
8
Sum Weights
8
Mean
27.01075
Sum Observations
216.086
Std Deviation
4.24131805
Variance
17.9887788
Skewness
-1.6798523
Kurtosis
2.9906547
Uncorrected SS
5962.56638
Corrected SS
125.921452
Coeff Variation
15.7023335
Std Error Mean
1.49953238
Basic Statistical Measures
Location
Variability
Mean
27.01075
Std Deviation
4.24132
Median
28.16950
Variance
17.98878
Mode
.
Range
13.16700
Interquartile Range
3.90300
Tests for Location: Mu0=0
Test
Statistic
p Value
Student’s t
t
18.01278
Pr > |t|
<.0001 Sign M 4 Pr >= |M|
0.0078
Signed Rank
S
18
Pr >= |S|
0.0078
Quantiles (Definition 5)
Quantile
Estimate
100% Max
31.0410
99%
31.0410
95%
31.0410
90%
31.0410
75% Q3
29.6595
50% Median
28.1695
25% Q1
25.7565
10%
17.8740
5%
17.8740
1%
17.8740
0% Min
17.8740
Extreme Observations
Lowest
Highest
Value
Obs
Value
Obs
17.874
4
28.134
6
24.126
7
28.205
1
27.387
8
28.947
5
28.134
6
30.372
3
28.205
1
31.041
2
Data Stats
The REG Procedure
Model: MODEL1
Dependent Variable: Race
Number of Observations Read
8
Number of Observations Used
8
Analysis of Variance
Source
DF
Sum of
Squares
Mean
Square
F Value
Pr > F
Model
1
21.50094
21.50094
6.29
0.0460
Error
6
20.49906
3.41651
Corrected Total
7
42.00000
Root MSE
1.84838
R-Square
0.5119
Dependent Mean
4.50000
Adj R-Sq
0.4306
Coeff Var
41.07512
Parameter Estimates
Variable
DF
Parameter
Estimate
Standard
Error
t Value
Pr > |t|
Intercept
1
-0.26830
2.00996
-0.13
0.8982
LessThanHighSchool
1
0.19706
0.07855
2.51
0.0460
Data Stats
The REG Procedure
Model: MODEL1
Dependent Variable: Race
Data Stats
The REG Procedure
Model: MODEL1
Dependent Variable: Race
Number of Observations Read
8
Number of Observations Used
8
Analysis of Variance
Source
DF
Sum of
Squares
Mean
Square
F Value
Pr > F
Model
1
2.56475
2.56475
0.39
0.5552
Error
6
39.43525
6.57254
Corrected Total
7
42.00000
Root MSE
2.56370
R-Square
0.0611
Dependent Mean
4.50000
Adj R-Sq
-0.0954
Coeff Var
56.97104
Parameter Estimates
Variable
DF
Parameter
Estimate
Standard
Error
t Value
Pr > |t|
Intercept
1
8.35486
6.23718
1.34
0.2289
HighSchoolOrEquiv
1
-0.14272
0.22846
-0.62
0.5552
Data Stats
The REG Procedure
Model: MODEL1
Dependent Variable: Race
1
data newyorkeducationalachievement
;
input Race LessThanHighSchool HighSchoolOrEquiv SomeCollegeOrAssociates BachelorsOrHigher;
datalines;
1 11.072 28.205 24.961 35.762
2 19.753 31.041 28.632 20.574
3 24.105 30.372 29.189 16.334
4 22.013 17.874 14.312 45.802
5 21.736 28.947 21.993 27.324
6 38.936 28.134 19.999 12.931
7 20.738 24.126 25.859 29.276
8 35.226 27.387 21.495 15.893
;
run;
symbol v=none i=box00f co=black cv=black bwidth=2;
TITLE ‘Less Than High School by Race’;
PROC gplot DATA=newyorkeducationalachievement;
plot LessThanHighSchool*Race;
run;
symbol v=none i=box00f co=black cv=black bwidth=2;
TITLE ‘High School or Equivalent by Race’;
PROC gplot DATA=newyorkeducationalachievement;
plot HighSchoolOrEquiv*Race;
run;
symbol v=none i=box00f co=black cv=black bwidth=2;
TITLE ‘Some College or Associates by Race’;
PROC gplot DATA=newyorkeducationalachievement;
plot SomeCollegeOrAssociates*Race;
run;
symbol v=none i=box00f co=black cv=black bwidth=2;
TITLE ‘Bachlors or Higher by Race’;
PROC gplot DATA=newyorkeducationalachievement;
plot BachelorsOrHigher*Race;
run;
proc univariate data=newyorkeducationalachievement;
var LessThanHighSchool HighSchoolOrEquiv SomeCollegeOrAssociates BachelorsOrHigher;
run;
PROC REG DATA = newyorkeducationalachievement;
TITLE “Data Stats”;
MODEL Race = LessThanHighSchool;
run;
PROC REG DATA = newyorkeducationalachievement;
TITLE “Data Stats”;
MODEL Race = HighSchoolOrEquiv;
run;
PROC REG DATA = newyorkeducationalachievement;
TITLE “Data Stats”;
MODEL Race = SomeCollegeOrAssociates;
run;
PROC REG DATA = newyorkeducationalachievement;
TITLE “Data Stats”;
MODEL Race = BachelorsOrHigher;
run;