1. DEFINATION:
“A collection of procedure for analyzing
the association between two or more sets of
measurement that were made of each object in one or
more sample of objects”.
{Paul E Green}
2. These technique are empirical in nature.
They analysis complex data collected
from real life.
This technique crystallize large volume
of data into smaller and more meaning
scores that convey all relevant
information.
This technique involves complex
calculation.
3. Metric data:
Data measurement in An interval
or ratio scale.
Non- Metric data:
Data measurement in nominal or
ordinal scale.
Dependence Technique:
These are the technique
that are used in situation where one or more
then one variable are dependent on
independent variables.
4. Interdependence Technique.
Explanatory variable and
criterion variable.
Observable variable and
latent variable.
Dummy Variable.
10. MRA is a measure of relationship and it involve a
single dependent variable and two or more then
two independent variable.
Form of multiple regression analysis modal is:
Y= a+ b 1 X1+ b2 X2 + b3 X3 +………….+b k X k +E
Y= Dependent Variable
X1, X2,………= Independent Variable
b1,…………….=Parameters
A=Constant
E= Error
11. Discriminate analysis is used for used for
following purposes:
Classification of a group of people .
Examining if there are any significant differences
between the group created.
Develop discriminate function that explain
between the different categories.
Lastly to evaluate how accurate the classification
has been.
12. The groups must be mutually exclusive
with every case belonging to only one
group.
All cases must be independent.
Group sizes of the dependent variable
are not grossly different.
Independent variable are interval.
There should be absence of multi co
linearity.
13. The discriminate function is represented
by the following linear equation…….
Di = b0 +b1 X1 + b2 X 2 +……….+b k X k
Di = Score on discriminate function I .
b1, b 2…..= Discriminate coefficients.
b0 …..=Constant
X1, X2…..= Independent variable.
