Regression

1. By
Narmatha P

2. A Regression is the study of the
nature of relationship between the
variables.
So that one may be able to predict
the unknown value of one variable
for a known value of another
variable.

3. Regression is the measure of the
average relationship between two or
more variables…………According
to M.M. Blair

4.  Mathematical method for determining the
best equation that reproduces a data set
 Regression method applied with a linear
model (straight line)
Uses:
Prediction of new x, y values
understanding data behavior
Verification of hypotheses/ physical laws

5. A linear regression line has
an equation of the form

8. CORRELATION REGRESSION
In correlation analysis the
degree and direction of
relationship between the
variables are studied.
If value of one variable is
known the value of other
variable cannot be estimated.
Correlation coefficient is
independent of change of
change of origin and scale
 Correlation coefficient lies
between -1 to +1.
In regression analysis the
nature of relationship is
studied.
If value of variable is known
the value of other variable can
be estimated using the
functional relationships.
Regression coefficient is
independent of change of
origin but not scale.
Only one regression
coefficient can be greater then
1.