# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.headline
1. -1 ≤ r ≤ +12. ryx= -0.843.-ve correlation4.Either r =+1 / r = -15. perfect correlation6. a=No correlationb=Perfect degree positive correlationc=Perfect degree Nagative correlationd= Moderate degree negative correlatione= High degree positive correlation

# data[].attributes.subject
1. -1 ≤ r ≤ +12. ryx= -0.843.-ve correlation4.Either r =+1 / r = -15. perfect correlation6. a=No correlationb=Perfect degree positive correlationc=Perfect degree Nagative correlationd= Moderate degree negative correlatione= High degree positive correlation

# data[].attributes.body
Varun

# data[].attributes.body
W
1.
1.0_1
2.xyz0.84
3.negetive correlation
4.xy=0.84
5.perfect positive
6.it Is correlation
a=no correlation
b=prefect
Positive
C=perfect negative
d.moderatedegree
positive correlation
e=high degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1. -1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2.ryx 0.84
3. Negative correlation
4. rxy=0.84
5. Perfect positive
6.
a=No correlation
b=perfect positive
c=perfect negative
d=moderate degree positive correlation
e=high degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.-1 ≤ r ≤ +1
2. ryx= -0.84
3.-ve correlation
4.Either r =+1 / r = -1
5. perfect correlation
6.
a=No correlation
b=Perfect degree positive correlation
c=Perfect degree Nagative correlation
d= Moderate degree negative correlation
e= High degree positive correlation

# data[].attributes.body
1.-1≤ r≤1
2. r yx 0.84
3. Negative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1. 0-1
2. -0.84
3. Negative correlation
4. r.xy=-0.84
5. Perfect positive
6.
a no correlation
b perfect positive
C perfect negative
d moderate degree positive correlation
E high degree negative correlation

# data[].attributes.body
0-1
-0.84
Nagetive correlation
Xy=0.84
Perfect positive

# data[].attributes.body
1) 0-1
2) - 0.84
3) negative corelation
4) r.xy=-0.84
5) perfect positive
6)
A)  No corelation
B) perfect negative
C) perfect positive
D) low degree negative corelation
E) high degree positive corelation

# data[].attributes.body
1. 0 - 1
2. -0.84
3. Negative correlation
4. r xy = 0.84
5. perfect positive
6.

# data[].attributes.body
1.-1 -1
2.-0.84
3. Nagative correlation
4.r xy =-0.84
5.perfect positive
6.
a=No correlation
b=Perfect positive
c=Perfect Nagative
d=Moderate degree positive correlation
e=High degree positive correlation

# data[].attributes.body
1.       Correlation Coefficient values lies between

2.       If rxy = -0.84 then ryx=?

3.     If two variables oppose each other then the correlation will be

4.       A perfect negative correlation is signified by

5.       If the scatter diagram is drawn the scatter points lie on a straight line then it indicate

6.       Comment on the nature

a.       r = 0

b.      r = +1

c.       r= -1

d.      r= -0.4

e.      r = +0.98