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STATS
CORRELATION AND REGRESSION ANALYSIS
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yenne
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Cards (15)
Univariate Data
- data involve a single variable.
Bivariate Data - data that involve two variable.
Correlation Analysis
- is a procedure or process of describing the relationship between two variables.
Scatter Plot
- is a graphical representation of the relationships between two variables.
The relationship between two variables is described in
terms of
strength
and
direction.
Positive
Correlation
A
positive
correlation exists if high
values in one variable are associated
with high values in another variable.
Similarly, low values in one variable are
associated with low values in one
variable.
If a positive correlation exists, then the
points on the scatter plot closely follow a
straight line slanting up to the right.
Positive
Correlation
Negative
Correlation
A negative correlation exists if high
values in one variable are associated
with low values in another variable.
Similarly, low values in one variable
are associated with high values in
one variable.
If a
negative
correlation exists, then
the points on the scatter plot closely
follow a straight line slanting down
to the right.
Negative
Correlation
Zero
Correlation
A
zero
correlation exists when
high values in one variable are
associated to high or low values
in the other variable.
If a
zero
correlation exists, then
the points on the scatter are
randomly scattered. The points do
not follow closely a straight line.
Zero
Correlation
Types of Correlation According to Strength
Perfect
Positive Correlation
High
Positive Correlation
Low
Positive Correlation
Perfect
Negative Correlation
High
Negative Correlation
Low
Negative Correlation
Positive
Correlation exists between two variables when the points on the scatter plot follow straight line slanting up to the right.
Negative
Correlation exists between two variables when the two pints on the scatter plot follow straight line slanting down to the right.
Perfect
Correlation exists between two variables when the two points on the scatter plot lie on a straight line.
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