The document provides an overview of regression analysis, including its concepts, types, and applications in various fields such as business and social science research. It discusses both simple and multiple regression models, key components like dependent and independent variables, as well as methods used for regression analysis such as the least squares method. Additionally, the document lists software tools for regression analysis, including SPSS and Microsoft Excel.

1. PARMINDER SINGH
M.PHIL
DEPARTMENT OF COMMERCE

2.  CONCEPT AND INTRODUCTION OF REGRESSION
ANALYSIS
 TYPES OF REGRESSION ANALYSIS
 USES OF REGRESSION ANALYSIS
 MODELS OF REGRESSION ANALYSIS
 REGRESSION WITH SPSS
 REGRESSION SOFTWARES

3. Regression analysis is the measure of average
relationship between two or more variables : M.M.
BLAIR
Regression analysis measures the nature and extent
of the relations between two or more variables,
thus enables us to make prediction. HIRSH

4.  TWO OR MORE VARIABLES
 HAVING RELATIONSHIP AND ASSOCIATION
 DEPENDENT AND INDEPENDENT VARIABLES
 CAUSE AND EFFECT RELATIONSHIP
 ESTIMATION AND PREDICTION

5.  SIMPLE AND MULTIPLE REGRESSION
 LINEAR AND CURVI LINEAR
 PARTIAL AND TOTAL REGRESSION
 STEPWISE REGRESSION

7.  NATURE OF RELATIONSHIP
 PREDICTION AND ESTIMATION
 BUSINESS RESEARCH
 USEFUL FOR SOCIAL SCIENCE RESEARCH

8.  SIMPLE REGRESSION
MODEL :
y = a+bx+e
here one independent
and dependent
variables
 MULTIPLE REGRESSION
MODEL :
y =
a+b’x’+b2x2+bnxn+e
Here more than two
variables in which one
is dependent and
others are independent
variables

10.  Here mathematical equation is formed to predict
the value of unknown variable from given known
variables
 Least square method is mostly used model and
method of regression analysis

11.  R (-1 < 0< +1 )
 R SQUARE
 RESIDUAL ERROR (E)
 REGRESSION LINE

14.  SAS
 MINITAB
 REGRESSION PLUS
 SPSS
 MICROSOFT EXCEL

15. CONCLUSION

16.  MARKETING RESEARCH ( NARESH MALHOTRA AND DASS)
 MARKETING RESEARCH ( HAIR AND BUSH)
 STATISTICS FOR MANAGEMENT (R.P. HOODA)
 STATISTICS ( STEINBERG )
 FUNDAMENTALS OF STATISTICS ( SPRIEGAL AND STEPHEN )
 BUSINESS STATISTICS ( SRIVASTAVA AND REGO )
 WWW.YOUTUBE .COM /SPSS/REGRESSION
 WWW.DELL CORPORATION.IN /TYPES OF REGRESSION
 WWW.SPSS FOR BEGINERS

17. THANK YOU