Multiple Regression
The simple linear regression model is used to determine the effect of a single independent
variable on the dependent variable.
Y= 0 + 1x + e
But we are often interested in testing whether a dependent variable is related is more the
one

MANOVA
Introduction
In the preliminary statistics books, test for single mean and test for two means i.e. the
difference between the two means are discussed. In the case of single mean test, the
samples may be independent or dependent. In the case of depe

Discriminant Analysis
Discriminant Analysis is a classification technique. It is similar to the Multiple
Regression Analysis. But the dependent variables in the Discriminant Analysis assume
the categorical (nominal) values.
Requirement
To do this classifi

2
CLUSTER ANALYSIS
Cluster analysis is a data analysis tool for classification problems. Its objective is
to classify observations into groups / clusters such that the degree of association is strong
between members of the same clusters and weak between m

Assignment - Data Analytics
Naming and Interpreting Data using Canonical
Correlation
Submitted to
Dr. M. Punniyamoorthy
By
Sowmya.A
Kalyani.V
Vinodkrishna.R
Hema Geetha Priya.T
-1-
CANONICAL CORRELATION
Canonical correlation is a multivariate technique, w

FACTOR ANALYSIS
Introduction:
Any time it is desirable to collect as much data as possible in a research to find out a
result. Thus, we find to collect data on many variables. But after collecting the data, one
will face a situation on how to analyze thos

Canonical Correlation
Canonical correlation is a multivariate technique, which depicts the relationship between
a set of independent variables and the dependent variables. Ordinary correlation analysis
explains the relationship between the two variables o

MULTIPLE REGRESSION
INTRODUCTION: The simple linear regression model is used to
determine the effect of a single independent variable on the
dependent variable.
y 0 1 x
However, we are often interested in testing whether a dependent
variable (y) is relat

CONJOINT ANALYSIS
In recent years, researchers have developed a new measurement technique from
the fields of mathematical psychology and psychometrics that can aid the marketing
manager in sorting out the relative importance of the products multidimension

MULTI COLLINEARITY:
Usually there will be a relationship between independent variables and dependent
variables. The purpose of regression analysis is to bring out this relationship. If there is a
relationship between the independent variables, it is not g

CLUSTER ANALYSIS
Cluster analysis is a data analysis tool for classification problems. Its objective is to classify observations into
groups / clusters such that the degree of association is strong between members of the same clusters and weak
2
between m