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# PPT 12.1 - Correlation CA Foundation Notes | EduRev

## Quantitative Aptitude for CA CPT

Created by: Wizius Careers

## CA Foundation : PPT 12.1 - Correlation CA Foundation Notes | EduRev

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CPT Section D, Quantitative Aptitude, Chapter 12
CA. Dharmendra Gupta
Page 2

CPT Section D, Quantitative Aptitude, Chapter 12
CA. Dharmendra Gupta
Correlation is the
relationship that exists
between two or more
variables.
If two variables are
related to each other in
such a way that change
increases a
corresponding change in
other, then variables are
said to be correlated.
Page 3

CPT Section D, Quantitative Aptitude, Chapter 12
CA. Dharmendra Gupta
Correlation is the
relationship that exists
between two or more
variables.
If two variables are
related to each other in
such a way that change
increases a
corresponding change in
other, then variables are
said to be correlated.
Relationship between the heights and weights.
Relationship between the quantum of rainfall and the yield
of wheat.
Relationship between the Price and demand of
commodity.
Relationship between the dose of insulin and blood sugar.
Page 4

CPT Section D, Quantitative Aptitude, Chapter 12
CA. Dharmendra Gupta
Correlation is the
relationship that exists
between two or more
variables.
If two variables are
related to each other in
such a way that change
increases a
corresponding change in
other, then variables are
said to be correlated.
Relationship between the heights and weights.
Relationship between the quantum of rainfall and the yield
of wheat.
Relationship between the Price and demand of
commodity.
Relationship between the dose of insulin and blood sugar.
studies relationship between
variables like price and quantity
demand.
Correlation analysis helps in
deriving precisely the degree and
the direction of such
relationships.
Page 5

CPT Section D, Quantitative Aptitude, Chapter 12
CA. Dharmendra Gupta
Correlation is the
relationship that exists
between two or more
variables.
If two variables are
related to each other in
such a way that change
increases a
corresponding change in
other, then variables are
said to be correlated.
Relationship between the heights and weights.
Relationship between the quantum of rainfall and the yield
of wheat.
Relationship between the Price and demand of
commodity.
Relationship between the dose of insulin and blood sugar.
studies relationship between
variables like price and quantity
demand.
Correlation analysis helps in
deriving precisely the degree and
the direction of such
relationships.
The effect of
correlation is to
reduce the range of
uncertainty of our
prediction .
The prediction based
on correlation
analysis will more
reliable and near to
reality.
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